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Development of a New Measure of Cognitive Ability Using Automatic Item Generation and Its Psychometric Properties

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  • Ji Hoon Ryoo
  • Sunhee Park
  • Hongwook Suh
  • Jaehwa Choi
  • Jongkyum Kwon

Abstract

In the development of cognitive science understanding human intelligence and mind, measurement of cognitive ability has played a key role. To address the development in data scientific point of views related to cognitive neuroscience, there has been a demand of creating a measurement to capture cognition in short and repeated time periods. This paper introduces an innovative measure of cognitive ability based on automatic item generation approach, which can efficiently and effectively measure cognitive ability over time. We also examine its psychometric properties. Content validity of the assessment was considered based on the Cattell-Horn-Carroll theory, and construct validity via convergent and divergent validities was examined by confirmatory factor analysis. The reliability of the measure examined by internal consistencies as well as test-retest reliabilities of each subdomain of cognitive ability were satisfactory. The psychometric properties found clearly support its potential utilities in both educational and clinical settings, especially in a field requiring repeated measures of cognitive ability.

Suggested Citation

  • Ji Hoon Ryoo & Sunhee Park & Hongwook Suh & Jaehwa Choi & Jongkyum Kwon, 2022. "Development of a New Measure of Cognitive Ability Using Automatic Item Generation and Its Psychometric Properties," SAGE Open, , vol. 12(2), pages 21582440221, April.
    • Handle: RePEc:sae:sagope:v:12:y:2022:i:2:p:21582440221095016
    DOI: 10.1177/21582440221095016
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    References listed on IDEAS

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    1. Caemmerer, Jacqueline M. & Keith, Timothy Z. & Reynolds, Matthew R., 2020. "Beyond individual intelligence tests: Application of Cattell-Horn-Carroll Theory," Intelligence, Elsevier, vol. 79(C).
    2. Bryan, Victoria M. & Mayer, John D., 2020. "A meta-analysis of the correlations among broad intelligences: Understanding their relations," Intelligence, Elsevier, vol. 81(C).
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