Tests by Ivan Ivec (aggregate) statistics

Introduction

These are statistics based on the scores on the tests by Ivan Ivec (aggregate) as reported by test candidates of I.Q. Tests for the High Range. Please keep the following in mind: As a result of candidates' tendency to report their higher scores while withholding lower ones, there may be an upward bias in the reported scores, while the possible correlation with other variables is reduced as a result of the restriction of range inherent to this incomplete reporting. Also, this report deals with a compound variable, wherein all the tests of a given author are combined. Such a compound variable, too, has reduced potential to correlate with any other variable because of the imperfect intercorrelations of its constituents.

Scores on Tests by Ivan Ivec (aggregate) as of 17 June 2024

• n: 36
• Median: 147.0
• Quartile deviation: 7.8
• Range: 59
• Male median: 147.0 (n = 35)
• Proportion of males among candidates: 0.972
• Resolution: 0.57

Correlation of Tests by Ivan Ivec (aggregate) with other mental ability tests

Weighted average of correlations: 0.420 (N = 512)

Estimated g factor loading: 0.65

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 Ivan Ivec (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 = 312

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

Balanced g loading = 0.59

National medians for Tests by Ivan Ivec (aggregate)

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 with national I.Q.'s of Tests by Ivan Ivec (aggregate)

Correlation of this test with national average I.Q.'s published by Lynn and Vanhanen, later Lynn and Becker:

• r = 0.15 (n = 34)

Correlation of Tests by Ivan Ivec (aggregate) with personal details

Estimated g factor loadings for restricted ranges

In parentheses the number of score pairs on which that estimated g factor loading is based. The goal of this 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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