Tests by Jason Betts (aggregate) statistics

Introduction

These are statistics based on the scores on the tests by Jason Betts (aggregate) as reported by test candidates of I.Q. Tests for the High Range.

Scores on Tests by Jason Betts (aggregate) as of 28 September 2026

• n: 36
• Median: 151.0
• Quartile deviation: 3.8
• Male median: 151.0 (n = 36)
• Proportion of males among candidates: 1.000
• Resolution: 3.8

Correlation of Tests by Jason Betts (aggregate) with other mental ability tests

Weighted mean of correlations: 0.227 (N = 581)

Estimated g factor loading: 0.48

Ranking in above table is based on the unrounded correlations. All available data is present in this table, no tests are left out except for those with less than 4 score pairs. All known pairs are used, including possible floor/ceiling scores or outliers.

Estimated loadings of Tests by Jason Betts (aggregate) on particular item types

These are estimated g factor loadings, but against homogeneous tests (containing only particular item types) as opposed to non-compound heterogeneous tests. Although tending to surprise the lay person, it is not uncommon for tests to have high loadings on item types they do not actually contain themselves. Such loadings reflect the empirical fact that most tests for mental abilities measure primarily g, regardless of their contents; that the major part of test score variance is caused by g, and only a minor part by factors germane to particular item types. It is of key importance to understand that this is a fact of nature, a natural phenomenon, and not something that was built into the tests by the test constructors.

N = 388

Compound tests have been left out of this table to avoid overlap.

Balanced g loading = 0.32

National medians for Tests by Jason Betts (aggregate)

Total number of countries: 20

For reasons of privacy, only countries with 3 or more candidates are included in this table. Ranking is based on the medians, and then alphabetic.

Correlation of Tests by Jason Betts (aggregate) with personal details

Notice: A correlation is generally considered significant if its p value is 0.05 or less.

Estimated g factor loadings for restricted ranges

The goal of estimated g factor loadings for restricted ranges is to verify the hypothesis that g becomes less important, accounts for a smaller proportion of the variance, at higher I.Q. levels. The mere fact of restricting the range like this also depresses the g loading compared to computing it over the test's full range, so it would be normal for these values to be lower than the test's full-range g loading.

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