Statistics of Reason Behind Multiple-Choice

Norms

Scores

• # Candidates: 30
• Median: 143.0
• Quartile deviation: 23.0
• Range: 140
• Maximum possible: 196
• Mean: 132.2
• Standard deviation: 36.42
• Male median: 143.0
• No females have taken this test yet.
• Hardness: 0.27
• Resolution: 1.00

Correlation with other tests

Weighted average of correlations: 0.557

Conservatively estimated minimum g loading: 0.75

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 5 score pairs. All known pairs are used to obtain the true, honest statistics; Correlations are not artificially inflated by leaving out ceiling scores, outliers or other anomalies.

Additional statistics November 2014

Scores on Reason Behind Multiple-Choice

Contents type: Verbal, logical.   Period: 2004-2008

• n: 31
• Median: 139.0
• Quartile deviation: 24.0
• Range: 140
• Maximum possible: 196
• Minimum possible: -100
• Male median: 139.0 (n = 31)
• No females have taken this test yet.
• Hardness: 0.19
• Resolution: 1.00

Correlation of Reason Behind Multiple-Choice with other tests by Paul Cooijmans

Weighted average of correlations: 0.617

Conservatively estimated minimum g loading: 0.79

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 5 score pairs. All known pairs are used to obtain the true, honest statistics; correlations have not been artificially inflated by leaving out ceiling scores, outliers or other anomalies.

Correlation of Reason Behind Multiple-Choice with tests by others

Weighted average of correlations: 0.220

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 5 score pairs. All known pairs are used to obtain the true, honest statistics; correlations have not been artificially inflated by leaving out ceiling scores, outliers or other anomalies.

Please be aware that correlations with these external tests are in most cases affected (depressed, typically) by one or more of the following: (1) Little overlap with the object test because of the much lower ceilings and inherent ceiling effects of the tests used in regular psychology; (2) Candidates reporting scores selectively, for instance only the higher ones while withholding lower ones; (3) Candidates reporting, or having been reported by psychometricians, incorrect scores.

Estimated loadings of Reason Behind Multiple-Choice 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.

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

Balanced g loading = 0.78

National medians for Reason Behind Multiple-Choice

For reasons of privacy, only countries with 2 or more candidates are included in this table. Ranking is based on the medians, and then alphabetic.

Correlation of Reason Behind Multiple-Choice with personal details

Correlation with national I.Q.'s of Reason Behind Multiple-Choice

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

• r = 0.09 (n = 31)

Estimated g factor loadings upward and downward of particular scores

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 both values to be lower than the test's full-range g loading.

Reliability, robustness, and total test quality

These are derived from the relevant statistics at subtest level:

• Reliability: .95
• Robustness: .68
• Quality: .75

Other statistics

See the reports for the subtests Qoymans Multiple-Choice #4 and Reason.