Official IQ Test

IQ Score Distribution in the United States

There are a lot of intelligent citizens living out in the United States. Our website ranks the United States in position 75 on our list of countries with the highest average intelligence quotient. The average score is 96.57, which is great!

By comparison, Canada is currently in position 48 with an average score of 99.44.

Our test currently has a global mean of 99.61 and a standard deviation of 14.97 among all the people who have challenged their cognitive abilities with our test. We aim to calibrate the test to a mean of 100 and a standard deviation of 15 to provide every test taker with the most accurate results possible. This is a fully standardized test that is presented in exactly the same way to everyone, no matter which country they are in.

Which countries have the most intelligent people in the world? We decided to publish some of our data on a country-by-country basis to show exactly how the general intelligence of your country compares to others.

For simplicity, the symmetrical Gaussian curve has been used in the drawing of the graphs even though, in some cases, the skew-normal distribution would describe some countries' results better.

The results may not reflect the country's real average IQ and intellectual ability due to the distortion present in the sample.

Most Intelligent Countries in the World in 2024

The Worldwide IQ Test website ranks the countries with the highest average IQ in the world based on our official IQ test results. By far the most intelligent countries in the world are Japan having an astonishing average IQ score of 112.30 among the test-takers, with the citizens of Hungary (111.23), Taiwan (111.21), and Italy (110.81) close behind.

The results may not reflect the country's real average IQ due to the distortion present in the sample - not everyone in the country will have taken our IQ test. However, the results indicate which country generally has the most brilliant population on average. The cognitive ability of the test taker along with abstract reasoning skills, spatial reasoning ability, and skill at problem-solving will reveal your IQ level.

Where do you think you rank compared to the rest of the world? Do you have a high IQ? Please find out your individual score by taking our reliable IQ test now.

Take our official
Worldwide IQ Test

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Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

×

Standard deviation

In statistics, the standard deviation is a measure of the amount of variation or dispersion in a set of data. For IQ test results that form a Gaussian curve, the standard deviation can provide important information about the distribution of scores.

For IQ tests, the standard deviation is often set at 15 points. This means that approximately 68% of the test-takers will score within 15 points of the mean, 95% will score within 30 points of the mean, and 99.7% will score within 45 points of the mean.

The standard deviation of an IQ test score distribution can vary between countries. A tighter (i.e., smaller) standard deviation means that the scores are more closely clustered around the mean, while a wider (i.e., larger) standard deviation means that the scores are more spread out.

For example, let's say we have two countries, A and B, that have the same mean IQ score of 100 but different standard deviations. In country A, the standard deviation is 10, while in country B, the standard deviation is 20. This means that the scores in country A are more tightly clustered around the mean, while the scores in country B are more spread out.

In terms of interpretation, a smaller standard deviation indicates that the population has less variability in IQ scores, meaning that there is less diversity in cognitive abilities within the population. On the other hand, a larger standard deviation indicates greater variability in IQ scores, which suggests a wider range of cognitive abilities within the population.

However, it is important to note that the standard deviation is just one aspect of the distribution of IQ scores, and should be interpreted in conjunction with other statistics such as the mean and percentiles. Additionally, it is important to avoid making generalizations or stereotyping based on IQ scores or other measures of cognitive ability, as these can be influenced by a wide range of factors beyond an individual's control.

Close

×

Cronbach's alpha

Cronbach's alpha is a measure of internal consistency reliability, which means it assesses how consistently the items in a test measure a single underlying construct (in this case, IQ).

Our test currently has a global Cronbach's alpha of α=0.83 among all the people who have taken our test. Here is a commonly used rating scale for interpreting Cronbach's alpha values:

0.9 ≤ α: Excellent internal consistency
0.8 ≤ α < 0.9: Good internal consistency
0.7 ≤ α < 0.8: Acceptable internal consistency
0.6 ≤ α < 0.7: Questionable internal consistency
0.5 ≤ α < 0.6: Poor internal consistency
α < 0.5: Unacceptable internal consistency


A high Cronbach's alpha coefficient value suggests that the items in the IQ test are highly correlated with each other, indicating that they are measuring the same underlying construct (i.e., intelligence). This indicates that the test is reliable and consistent in measuring IQ.

In contrast, a low Cronbach's alpha coefficient value suggests that the items in the IQ test are not highly correlated with each other, indicating that they may not be measuring the same underlying construct (i.e., intelligence) in a consistent way. This suggests that the test may not be reliable or consistent in measuring IQ.

Therefore, Cronbach's alpha can be used as an indicator of the overall reliability and consistency of an IQ test, and it can be useful for evaluating the quality of the test and the validity of the scores.

Close

#	Country	Average IQ	Standard Deviation	αCronbach's alpha
1.	Japan	112.30	12.35	0.83
2.	Hungary	111.23	14.38	0.85
3.	Taiwan	111.21	11.58	0.80
4.	Italy	110.81	15.90	0.86
5.	South Korea	110.69	14.44	0.84
6.	Serbia	110.61	16.75	0.87
7.	Iran	110.18	14.08	0.84
8.	Finland	109.64	18.73	0.88
9.	Hong Kong	109.58	13.16	0.82
10.	Vietnam	108.80	13.67	0.83
11.	Slovenia	108.38	14.02	0.85
12.	Turkey	107.82	17.07	0.85
13.	Croatia	107.52	13.63	0.82
14.	Montenegro	107.44	14.69	0.83
15.	Czech Republic	107.33	14.99	0.86
16.	Austria	107.20	14.84	0.85
17.	Norway	106.83	18.95	0.87
18.	Sweden	106.66	16.78	0.86
19.	Slovakia	106.48	13.35	0.82
20.	Romania	106.43	14.94	0.84
21.	Switzerland	105.69	14.49	0.84
22.	Cyprus	105.67	16.02	0.84
23.	Israel	105.21	15.62	0.84
24.	Germany	105.15	14.58	0.84
25.	Greece	104.93	15.38	0.84
26.	Bosnia and Herzegovina	104.66	14.19	0.80
27.	Bulgaria	104.06	14.09	0.83
28.	Singapore	103.95	14.60	0.84
29.	Mongolia	103.00	13.21	0.79
30.	Poland	102.88	15.78	0.85
31.	Spain	102.71	13.87	0.83
32.	Peru	102.65	13.11	0.81
33.	Denmark	102.47	14.78	0.85
34.	Sri Lanka	102.42	12.85	0.79
35.	Netherlands	102.27	13.66	0.82
36.	Luxembourg	102.20	14.45	0.80
37.	Belgium	102.09	13.20	0.82
38.	Malaysia	102.07	13.23	0.81
39.	Macedonia	101.32	13.38	0.82
40.	Syria	100.96	11.66	0.76
41.	New Zealand	100.64	14.14	0.83
42.	Estonia	100.56	13.15	0.83
43.	France	100.37	12.96	0.81
44.	Lebanon	100.02	12.42	0.81
45.	Iraq	99.76	12.90	0.79
46.	Belarus	99.69	12.43	0.79
	World	99.61 (100)	14.97 (15)	0.83
47.	Morocco	99.53	12.92	0.80
48.	Canada	99.44	12.86	0.81
49.	Tunisia	99.41	12.25	0.76
50.	India	99.41	11.39	0.77
51.	Albania	99.34	12.75	0.80
52.	Portugal	99.18	12.03	0.79
53.	Lithuania	98.87	14.50	0.82
54.	Qatar	98.76	11.53	0.75
55.	Argentina	98.69	13.87	0.83
56.	Egypt	98.61	12.19	0.80
57.	Ireland	98.60	11.19	0.78
58.	Myanmar	98.45	9.68	0.66
59.	Russia	98.38	12.27	0.80
60.	Nepal	98.29	11.09	0.75
61.	Georgia	98.16	12.66	0.80
62.	Algeria	98.15	12.83	0.83
63.	Ecuador	98.12	12.23	0.78
64.	Chile	98.09	13.24	0.81
65.	Australia	98.09	12.32	0.80
66.	Cuba	97.72	9.86	0.80
67.	United Kingdom	97.66	12.44	0.80
68.	Jordan	97.57	12.62	0.80
69.	Bolivia	97.37	12.14	0.81
70.	Azerbaijan	97.36	12.17	0.80
71.	Uruguay	97.09	12.08	0.84
72.	United Arab Emirates	96.98	12.71	0.79
73.	Venezuela	96.88	11.47	0.77
74.	Latvia	96.76	11.83	0.76
75.	United States	96.57	12.68	0.80
76.	Armenia	96.57	11.61	0.81
77.	Philippines	96.56	11.39	0.79
78.	Kuwait	96.55	13.18	0.80
79.	Moldova	96.50	11.97	0.78
80.	Saudi Arabia	96.48	11.52	0.77
81.	Mexico	96.47	12.51	0.82
82.	Cambodia	96.27	11.42	0.73
83.	Bangladesh	96.22	11.35	0.76
84.	Ethiopia	95.94	10.44	0.77
85.	Colombia	95.78	12.80	0.83
86.	South Africa	95.66	11.78	0.79
87.	Kazakhstan	95.48	11.60	0.76
88.	Oman	95.29	8.99	0.69
89.	Ukraine	94.95	11.70	0.76
90.	Kenya	94.57	9.37	0.73
91.	Cameroon	94.56	10.79	0.67
92.	Brazil	94.55	12.79	0.81
93.	Tajikistan	94.42	10.32	0.71
94.	Costa Rica	94.31	11.42	0.81
95.	Guatemala	93.98	8.43	0.76
96.	Indonesia	93.95	11.03	0.74
97.	Nicaragua	93.71	8.14	0.73
98.	Uzbekistan	93.64	10.98	0.72
99.	Pakistan	93.47	10.37	0.70
100.	Nigeria	93.23	10.47	0.65
101.	Dominican Republic	93.20	8.73	0.64
102.	Honduras	92.94	10.18	0.72
103.	Thailand	92.73	12.89	0.77
104.	Kyrgyzstan	92.47	11.04	0.72
105.	Panama	91.39	13.16	0.75
106.	El Salvador	91.30	13.72	0.79
107.	Laos	90.99	11.24	0.65
108.	Angola	90.93	10.38	0.68
109.	Paraguay	90.52	11.92	0.78
110.	Mozambique	90.06	12.56	0.68
	Zimbabwe	-	-	-
	Zambia	-	-	-
	Yemen	-	-	-
	Vanuatu	-	-	-
	Saint Vincent and the Grenadines	-	-	-
	Uganda	-	-	-
	Tanzania	-	-	-
	Trinidad and Tobago	-	-	-
	Tonga	-	-	-
	Turkmenistan	-	-	-
	Togo	-	-	-
	Chad	-	-	-
	Swaziland	-	-	-
	Sao Tome and Principe	-	-	-
	South Sudan	-	-	-
	Suriname	-	-	-
	Somalia	-	-	-
	Senegal	-	-	-
	San Marino	-	-	-
	Sierra Leone	-	-	-
	Sudan	-	-	-
	Seychelles	-	-	-
	Solomon Islands	-	-	-
	Rwanda	-	-	-
	Palau	-	-	-
	Palestine	-	-	-
	Papua New Guinea	-	-	-
	Nauru	-	-	-
	Niger	-	-	-
	Namibia	-	-	-
	Malawi	-	-	-
	Maldives	-	-	-
	Mauritius	-	-	-
	Malta	-	-	-
	Mauritania	-	-	-
	Mali	-	-	-
	Madagascar	-	-	-
	Monaco	-	-	-
	Libya	-	-	-
	Lesotho	-	-	-
	Liberia	-	-	-
	Liechtenstein	-	-	-
	Saint Lucia	-	-	-
	Saint Kitts and Nevis	-	-	-
	Jamaica	-	-	-
	Iceland	-	-	-
	Haiti	-	-	-
	Guyana	-	-	-
	Guinea-Bissau	-	-	-
	Equatorial Guinea	-	-	-
	Guinea	-	-	-
	Gambia	-	-	-
	Ghana	-	-	-
	Guernsey	-	-	-
	Grenada	-	-	-
	Gabon	-	-	-
	Fiji	-	-	-
	Eritrea	-	-	-
	Dominica	-	-	-
	Djibouti	-	-	-
	Curaçao	-	-	-
	Cape Verde	-	-	-
	China	-	-	-
	Côte d'Ivoire	-	-	-
	Congo	-	-	-
	Central African Republic	-	-	-
	Rep. of the Congo	-	-	-
	Belize	-	-	-
	Botswana	-	-	-
	Bhutan	-	-	-
	Bahamas	-	-	-
	Brunei	-	-	-
	Benin	-	-	-
	Burundi	-	-	-
	Bahrain	-	-	-
	Burkina Faso	-	-	-
	Barbados	-	-	-
	Antigua and Barbuda	-	-	-
	Afghanistan	-	-	-
	Andorra	-	-	-

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