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. 2022 Sep;29(6):1117-1133.
doi: 10.1177/10731911211005170. Epub 2021 Apr 2.

Exploratory Factor Analyses of the French WISC-V (WISC-VFR) for Five Age Groups: Analyses Based on the Standardization Sample

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Exploratory Factor Analyses of the French WISC-V (WISC-VFR) for Five Age Groups: Analyses Based on the Standardization Sample

Thierry Lecerf et al. Assessment. 2022 Sep.

Abstract

This study investigated the factor structure of the French Wechsler Intelligence Scale for Children-Fifth Edition with five standardization sample age groups (6-7, 8-9, 10-11, 12-13, 14-16 years) using hierarchical exploratory factor analysis followed by Schmid-Leiman procedure. The primary research questions included (a) how many French Wechsler Intelligence Scale for Children-Fifth Edition factors should be extracted and retained in each age subgroup, (b) how are subtests associated with the latent factors, (c) was there evidence for the publisher's claim of five first-order factors and separate Visual Spatial and Fluid Reasoning factors, (d) what proportion of variance was due to general intelligence versus the first-order group ability factors following a Schmid-Leiman procedure, and (e) do results support the age differentiation hypothesis? Results suggested that four factors might be sufficient for all five age groups and results did not support the distinction between Visual Spatial and Fluid Reasoning factors. While the general factor accounted for the largest portions of variance, the four first-order factors accounted for small unique portions of variance. Results did not support the age differentiation hypothesis because the number of factors remained the same across age groups, and there was no change in the percentage of variance accounted for by the general factor across age groups.

Keywords: Schmid–Leiman (SL) procedure; WISC-VFR; age; age differentiation hypothesis; exploratory factor analyses; factor extraction criteria; structural validity.

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Conflict of interest statement

Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

References

    1. Ackerman P. L. (2018). Intelligence-as-process, personality, interests, and intelligence-as-knowledge. In Flanagan D. P., McDonough E. M. (Eds.), Contemporary intellectual assessment: Theories, tests, and issues. Fourth Edition (pp. 225-241). Guilford Press.
    1. Beaujean A. A. (2016). Reproducing the Wechsler Intelligence Scale for Children–Fifth edition: Factor model results. Journal of Psychoeducational Assessment, 34(4), 404-408. 10.1177/0734282916642679 - DOI
    1. Breit M., Brunner M., Preckel F. (2020). General intelligence and specific cognitive abilities in adolescence: Tests of age differentiation, ability differentiation, and their interaction in two large samples. Developmental Psychology, 56(2), 364-384. 10.1037/dev0000876 - DOI - PubMed
    1. Canivez G. L. (2011). Hierarchical factor structure of the Cognitive Assessment System: Variance partitions from the Schmid–Leiman (1957) procedure. School Psychology Quarterly, 26(4), 305-317. 10.1037/a0025973 - DOI
    1. Canivez G. L. (2013). Psychometric versus actuarial interpretation of intelligence and related aptitude batteries. In Saklofske D. H., Reynolds C. R., Schwean V. L. (Eds.), The Oxford handbook of child psychological assessments (pp. 84-112). Oxford University Press.

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