Abstract
The purpose of this study was to examine the factor structure of intelligence based on normative data from the Japanese Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV). Specifically, using a Bayesian approach to factor analysis, this study sought to determine (1) which factor structure best matched the normative data (i.e., that hypothesized in the WISC-IV or that postulated in the Cattell–Horn–Carroll theory) and (2) whether the factor structure of the WISC-IV demonstrated the presence of the general intelligence factor (g factor). The results of the model comparison, according to the widely applicable information criterion and leave-one-out cross-validation, showed that the g factor model represented a hierarchical structure more closely, relative to the bifactor model. The difference between the use of one (g factor) and two factors on the second level was not distinctive.
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Acknowledgements
This work was supported by JSPS KAKENHI Grant Numbers 16H06323, 18H03209, and 19H05663. We would like to thank Editage (www.editage.com) for English language editing. We sincerely thank Pearson, Inc. and Nihon Bunka Kagaku, Inc. for their permission to use standardized data for developing a Japanese version of the WISC-IV.
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Communicated by Wim J. van der Linden.
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Shigemasu, K., Kono, M. & Ueno, K. Bayesian confirmatory factor analysis of Wechsler Intelligence Scale for children data. Behaviormetrika 47, 451–467 (2020). https://doi.org/10.1007/s41237-020-00108-6
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DOI: https://doi.org/10.1007/s41237-020-00108-6