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      Common Factor Structure of the Ten Subtest Wechsler Adult Intelligence Scale–Fourth Edition in a Clinical Sample and 15 Subtest Version in the Standardization Sample

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          Abstract

          Objective

          The 10 core subtests of the Wechsler Adult Intelligence Scale-IV (WAIS-IV) suffice to produce the 4 index scores for clinical assessments. Factor analytic studies with the full complement of 15 subtests reveal a 5-factor structure that aligns with Cattell–Horn–Carroll taxonomy of cognitive abilities. The current study investigates the validity of 5-factor structure in a clinical setting with reduced number of 10 subtests.

          Method

          Confirmatory factor analytic models were fitted to a clinical neurosciences archival data set ( n_ Male = 166, n_ Female = 155) and to 9 age-group samples of the WAIS-IV standardization data ( n = 200 for each group). The clinical and the standardization samples differed as (a) the former comprised scores from patients, aged 16 to 91, with disparate neurological diagnosis whereas the latter was demographically stratified, (b) only the 10 core subtests in the former but all 15 subtests in the latter were administered, and (c) the former had missing data, but the latter was complete.

          Result

          Despite empirical constraints to eliciting 5 factors with only 10 indicators, the well-fitting, 5-factor (acquired knowledge, fluid intelligence, short-term memory, visual processing, and processing speed) measurement model evinced metric invariance between the clinical and standardization samples.

          Conclusion

          The same cognitive constructs are measured on the same metrics in every sample examined and provide no reason to reject the assumption that the 5 underlying latent abilities of the 15 subtest version in the standardization samples can also be inferred from the 10 subtest version in clinical populations.

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          Most cited references35

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          Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance

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            Significance tests and goodness of fit in the analysis of covariance structures.

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              Structural Equations with Latent Variables

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                Author and article information

                Contributors
                Journal
                Arch Clin Neuropsychol
                Arch Clin Neuropsychol
                acn
                Archives of Clinical Neuropsychology
                Oxford University Press
                0887-6177
                1873-5843
                December 2023
                23 May 2023
                23 May 2023
                : 38
                : 8
                : 1646-1658
                Affiliations
                Melbourne School of Psychological Sciences, University of Melbourne , Parkville, Victoria, Australia
                Melbourne School of Psychological Sciences, University of Melbourne , Parkville, Victoria, Australia
                Department of Clinical Neurosciences, St. Vincent’s Hospital , Fitzroy, Victoria, Australia
                Author notes
                Corresponding author at: Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria 3010, Australia. E-mail address: nsudarshan@ 123456unimelb.edu.au (N. Sudarshan).
                Article
                acad035
                10.1093/arclin/acad035
                10681435
                37222085
                b4aa3178-3ea5-439f-a658-8fd8ef4df392
                © The Author(s) 2023. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 April 2023
                Page count
                Pages: 13
                Categories
                Original Empirical Article
                AcademicSubjects/SCI01870
                AcademicSubjects/SCI02190

                Clinical Psychology & Psychiatry
                factorial invariance,generalizability,validity,wais-iv
                Clinical Psychology & Psychiatry
                factorial invariance, generalizability, validity, wais-iv

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