Abstract
The dataset from our previous Intelligence paper consists of data collected from the National Intelligence Tests (NIT, Estonian adaptation) at two historical time points: in 1933/36 (N=890) and in 2006, (N=913). The average age of the students was 13 years. The data-file consists of information about the cohort, age, and gender and test results at the item level for nine of the ten NIT subtests and subtest scores for the 10 th subtest. The three answer types are separated into three categories: right answers, wrong answers and missing answers. Data can be used for the psychometric research of cohort and sex differences at the scale and item level.
Highlights
The scientific roots of this project are related to the history of IQ measurement. The development and application of IQ tests in the army recruiting process during The First World War was successful and led up to a major expansion of the use of IQ tests beyond the army
The dataset from our previous Intelligence paper [1] consists of data collected from the National Intelligence Tests (NIT, Estonian adaptation) at two historical time points: in 1933/36 (N=890) and in 2006, (N=913)
The data-file consists of information about the cohort, age, and gender and test results at the item level for nine of the ten NIT subtests and subtest scores for the 10th subtest
Summary
The scientific roots of this project are related to the history of IQ measurement. The development and application of IQ tests in the army recruiting process during The First World War was successful and led up to a major expansion of the use of IQ tests beyond the army. The dataset from our previous Intelligence paper [1] consists of data collected from the National Intelligence Tests (NIT, Estonian adaptation) at two historical time points: in 1933/36 (N=890) and in 2006, (N=913). The data-file consists of information about the cohort, age, and gender and test results at the item level for nine of the ten NIT subtests and subtest scores for the 10th subtest. Data can be used for the psychometric research of cohort and sex differences at the scale and item level.
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