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.
|Publication status||Published - 2022 Apr|
Bibliographical noteFunding Information:
The authors thank the CAFA AIG team and Hyun Suk Ryoo for technical assistant to implement and administer the MOCA online. We also thank teachers who helped students access the MOCA online. The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported in part by a faculty support grant from the Saban Research Institute of the Children?s Hospital Los Angeles.
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported in part by a faculty support grant from the Saban Research Institute of the Children’s Hospital Los Angeles.
© The Author(s) 2022.
All Science Journal Classification (ASJC) codes
- Arts and Humanities(all)
- Social Sciences(all)