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An Exploration of Gender Invariance of the WISC-V Among Black Children in an Urban School District

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Abstract

The purpose of this paper is to examine the factorial invariance of the Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) between genders in a sample of Black students in an urban, public school district. Few researchers test the validity of cognitive assessments on Black samples and even fewer do so utilizing samples other than those used during standardization. Results from confirmatory factor analytic techniques and multi-group structural equation modeling using AMOS indicated that although the subtests of the WISC-V are measuring similar underlying constructs across genders, the intercepts differ on the Similarities and Coding subtests. This indicates that the scores are not necessarily interpretable at the same level in the domains of Verbal Comprehension and Working Memory, respectively. Furthermore, based on our sample of Black children, scores derived from the WISC-V should be interpreted with caution, as the five-factor model prescribed by the publishers did not fit. Implications for equitable cognitive assessment procedures, as well as noteworthy areas of additional research on cognitive assessment validity for Black children and samples not used during standardization are discussed.

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References

  • American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. American Educational Research Association.

  • Arbuckle, J. L. (2016). Analysis of moment structures (version 24.0). IBM.

  • Archer, R. P., Buffington-Vollum, J. K., Stredny, & Handel, R. W. (2006). A survey of test use patterns among forensic psychologists. Journal of Personality Assessment, 87(1), 64–94. https://doi.org/10.1207/s15327752jpa8701_07.

    Article  Google Scholar 

  • Bowden, S. C. (2013). Theoretical convergence in assessment of cognition. Journal of Psychoeducational Assessment, 31(2), 148–156.

  • Brown, R. T., Reynolds, C. R., & Whitaker, J. S. (1999). Bias in mental testing since bias in mental testing. School Psychology Quarterly, 14(3), 208–238. https://doi.org/10.1037/h0089007.

    Article  Google Scholar 

  • Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference: understanding AIC and BIC in model selection. Sociological Methods & Research, 33(2), 261–304. https://doi.org/10.1177/0049124104268644.

    Article  Google Scholar 

  • Burton, D., Sepehri, A., Hecht, F., VandenBroek, A., Ryan, J. J., & Drabman, R. (2001). A confirmatory factor analysis of the WISC-III in a clinical sample with cross-validation in the standardization sample. Child Neuropsychology, 7(2), 104–116. https://doi.org/10.1076/chin.7.2.104.3130.

    Article  PubMed  Google Scholar 

  • Bush, S., Sweet, J., Bianchini, K., Johnson-Greene, D., Dean, P., & Schoenberg, M. (2018). Deciding to adopt revised and new psychological and neuropsychological tests: an inter-organizational position paper. The Clinical Neuropsychologist, 32(3), 319–325. https://doi.org/10.1080/13854046.2017.1422277.

    Article  PubMed  Google Scholar 

  • Byrne, B. M. (2013). Structural equation modeling with AMOS: basic concepts, applications, and programming (2nd ed.). Taylor and Francis.

  • Canivez, G. L. (2014). Construct validity of the WISC-IV with a referred sample: direct versus indirect hierarchical structures. School Psychology Quarterly, 29(1), 38–51. https://doi.org/10.1037/spq0000032.

    Article  PubMed  Google Scholar 

  • Canivez, G. L., & Watkins, M. W. (1998). Long-term stability of the Wechsler Intelligence Scale for Children—Third Edition. Psychological Assessment, 10(3), 285–291. https://doi.org/10.1037/e413782005-540.

    Article  Google Scholar 

  • Canivez, G. L., Watkins, M. W., & Dombrowski, S. C. (2016). Factor structure of the Wechsler Intelligence Scale for Children–Fifth Edition: Exploratory factor analyses with the 16 primary and secondary subtests. Psychological Assessment, 28(8), 975.

  • Carroll, J. B. (1993). Human cognitive abilities: a survey of factor-analytic studies. Cambridge University Press.

  • Chen, H., & Zhu, J. (2012). Measurement invariance of WISC-IV across normative and clinical samples. Personality and Individual Differences, 52(2), 161–166.

  • Chen, H., Zhang, O., Raiford, S. E., Zhu, J., & Weiss, L. G. (2015). Factor invariance between genders on the Wechsler Intelligence Scale for Children–Fifth Edition. Personality and Individual Differences, 86, 1–5. https://doi.org/10.1016/j.paid.2015.05.020.

    Article  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. https://doi.org/10.1207/s15328007sem0902_5.

    Article  Google Scholar 

  • Dombrowski, S. C. (2015). Psychoeducational assessment and report writing. Springer Science.

  • Dombrowski, S. C., Canivez, G. L., Watkins, M. W., & Beaujean, A. A. (2015). Exploratory bifactor analysis of the Wechsler Intelligence Scale for Children-Fifth Edition with the 16 primary and secondary subtests. Intelligence, 53, 194–201. https://doi.org/10.1016/j.intell.2015.10.009.

    Article  Google Scholar 

  • Dombrowski, S. C., Canivez, G. L., & Watkins, M. W. (2018). Factor structure of the 10 WISC-V primary subtests across four standardization age groups. Contemporary School Psychology, 22, 90–104. https://doi.org/10.1007/s40688-017-0125-2.

    Article  Google Scholar 

  • Graves, S. L., & Aston, C. (2016). History of psychological assessment and intervention with minority populations. In S. L. Graves & J. J. Blake (Eds.), Applying psychology in the schools book series. Psychoeducational assessment and intervention for ethnic minority children: Evidence-based approaches (pp. 9–21). American Psychological Association. https://doi.org/10.1037/14855-002.

  • Graves, S., & Mitchell, A. (2011). Is the moratorium over? African American psychology professionals’ views on intelligence testing in response to changes to federal policy. Journal of Black Psychology, 37(4), 407–425. https://doi.org/10.1177/0095798410394177.

    Article  Google Scholar 

  • Guthrie, R. V. (2004). Even the rat was white: a historical view of psychology (2nd ed.) Pearson Education.

    Google Scholar 

  • Hilliard, A. (1983). IQ and the courts’ Larry P. vs. Wilson Riles and PASE vs. Hannon. Journal of Black Psychology, 10(1), 1–18.

    Google Scholar 

  • Horn, J. L., & Blankson, N. (2005). Foundations for better understanding of cognitive abilities. In D. P. Flanagan & P. L. Harrison (Eds.), Contemporary intellectual assessment: Theories, tests, and issues (2nd ed., pp. 41–68) Guilford.

    Google Scholar 

  • Hu, L.-T., & Bentler, P. M. (1995). Evaluating model fit. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (p. 76–99). Sage Publications, Inc.

  • Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.

    Article  Google Scholar 

  • Kamin, L. J. (2006). African IQ and mental retardation. South Africa Journal of Psychology, 36(1), 1–9. https://doi.org/10.1177/008124630603600101.

    Article  Google Scholar 

  • Kan, K. J., Wicherts, J. M., Dolan, C. V., & van der Maas, H. L. (2013). On the nature and nurture of intelligence and specific cognitive abilities: the more heritable, the more culture dependent. Psychological Science, 24(12), 2420–2428. https://doi.org/10.1177/0956797613493292.

    Article  PubMed  Google Scholar 

  • Keith, T. Z., Fine, J. G., Taub, G. E., Reynolds, M. R., & Kranzler, J. H. (2006). Higher order, multisample, confirmatory factor analysis of the Wechsler Intelligence Scale for Children—Fourth Edition: what does it measure? School Psychology Review, 35(1), 108–127.

    Article  Google Scholar 

  • Konold, T. R., Kush, J. C., & Canivez, G. L. (1997). Factor replication of the WISC-III in three independent samples of children receiving special education. Journal of Psychoeducational Assessment, 15(2), 123–137. https://doi.org/10.1177/073428299701500203.

    Article  Google Scholar 

  • Millsap, R. E., & Kwok, O. M. (2004). Evaluating the impact of partial factorial invariance on selection in two populations. Psychological Methods, 9(1), 93–115. https://doi.org/10.1037/1082-989x.9.1.93.

    Article  PubMed  Google Scholar 

  • Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., & Turkheimer, E. (2012). Intelligence: new findings and theoretical developments. American Psychologist, 67(2), 130–159. https://doi.org/10.1037/a0026699.

    Article  Google Scholar 

  • Norfolk, P. A., Farmer, R. L., Floyd, R. G., Woods, I. L., Hawkins, H. K., & Irby, S. M. (2015). Norm block sample sizes: a review of 17 individually administered intelligence tests. Journal of Psychoeducational Assessment, 33(6), 544–554. https://doi.org/10.1177/0734282914562385.

    Article  Google Scholar 

  • Oakland, T. (2009). How universal are test development and use? In E. L. Grigorenko (Ed.), Multicultural psychoeducational assessment (pp. 1–40). Spring Publishing Co..

  • Oakland, T., Douglas, S., & Kane, H. (2016). Top ten standardized tests used internationally with children and youth by school psychologists in 64 countries: a 24-year follow-up study. Journal of Psychoeducational Assessment, 34(2), 166–176. https://doi.org/10.1177/0734282915595303.

    Article  Google Scholar 

  • Okazaki, S., & Sue, S. (1995). Methodological issues in assessment research with ethnic minorities. Psychological Assessment, 7(3), 367–375. https://doi.org/10.1037/1040-3590.7.3.367.

    Article  Google Scholar 

  • Reynolds, M. R., & Keith, T. Z. (2017). Multi-group and hierarchical confirmatory factor analysis of the Wechsler Intelligence Scale for Children-Fifth Edition: what does it measure? Intelligence, 62, 31–47. https://doi.org/10.1016/j.intell.2017.02.005.

    Article  Google Scholar 

  • Scheiber, C. (2016). Is the Cattell–Horn–Carroll-based factor structure of the Wechsler Intelligence Scale for Children—Fifth Edition (WISC-V) construct invariant for a representative sample of African American, Hispanic, and Caucasian male and female students ages 6 to 16 years? Journal of Pediatric Neuropsychology, 2(3–4), 79–88. https://doi.org/10.1007/s40817-016-0019-7.

    Article  Google Scholar 

  • Schneider, W. J., & Kaufman, A. S. (2017). Let's not do away with comprehensive cognitive assessments just yet. Archives of Clinical Neuropsychology, 32(1), 8–20. https://doi.org/10.1093/arclin/acw104.

    Article  PubMed  Google Scholar 

  • Shaw, S. (2016). Research to practice in school psychology: challenges ahead and the role of NASP’s School Psychology Forum. School Psychology Forum, 4(10), 340–348.

    Google Scholar 

  • Smith, L. V., & Cokley, K. (2016). Stereotype threat vulnerability: a psychometric investigation of the social identities and attitudes scale. Measurement and Evaluation in Counseling and Development, 49(2), 145–162. https://doi.org/10.1177/0748175615625752.

    Article  Google Scholar 

  • Tobin, R. M. (2013). An introduction to the Wechsler Intelligence Tests: revisiting theory and practice. Journal of Psychoeducational Assessment, 31(2), 91–93. https://doi.org/10.1177/0734282913478029.

    Article  Google Scholar 

  • Trundt, K. M., Keith, T. Z., Caemmerer, J. M., & Smith, L. V. (2017). Testing for construct bias in the Differential Ability Scales: a comparison among African American, Asian, Hispanic, and Caucasian children. Journal of Psychoeducational Assessment, 36(7), 670–683. https://doi.org/10.1177/0734282917698303.

    Article  Google Scholar 

  • Watkins, M. W. (2006). Orthogonal higher order structure of the Wechsler Intelligence Scale for Children– Fourth Edition. Psychological Assessment, 18(1), 123–125. https://doi.org/10.1037/1040-3590.18.1.123.

    Article  PubMed  Google Scholar 

  • Watkins, M. W., Wilson, S. M., Kotz, K. M., Carbone, M. C., & Babula, T. (2006). Factor structure of the Wechsler Intelligence Scale for Children–Fourth Edition among referred students. Educational and Psychological Measurement, 66(6), 975–983. https://doi.org/10.1177/0013164406288168.

    Article  Google Scholar 

  • Wechsler, D. (2003). Wechsler Intelligence Scale for Children-Fourth Edition. Administration and scoring manual (4th ed.). The Psychological Corporation.

  • Wechsler, D. (2014a). Wechsler Intelligence Scale for Children-Fifth Edition. Administration and scoring manual (5th). Pearson.

  • Wechsler, D. (2014b). Wechsler Intelligence Scale for Children-Fifth Edition. Technical and interpretive manual (5th). Pearson.

  • Weiss, L. G., Keith, T. Z., Zhu, J., & Chen, H. (2013). WISC-IV and clinical validation of the four-and five-factor interpretative approaches. Journal of Psychoeducational Assessment, 31(2), 114–131. https://doi.org/10.1177/0734282913478032.

    Article  Google Scholar 

  • Wicherts, J. M., Dolan, C. V., & van der Maas, H. L. (2010). The dangers of unsystematic selection methods and the representativeness of 46 samples of African test-takers. Intelligence, 38(1), 30–37. https://doi.org/10.1016/j.intell.2009.11.003.

    Article  Google Scholar 

  • Widaman, K. F., & Reise, S. P. (1997). Exploring the measurement invariance of psychological instruments: applications in the substance use domain. In K. J. Bryant, M. Windle, & S. G. West (Eds.), The science of prevention: Methodological advances from alcohol and substance abuse research (pp. 281–324). American Psychological Association. https://doi.org/10.1037/10222-009.

  • Worrell, F. C., & Roberson, C. C. B. (2016). 2014 Standards for Educational and Psychological Testing: implications for ethnic minority youth. In S. L. Graves Jr. & J. J. Blake (Eds.), Psychoeducational assessment and intervention for ethnic minority youth: evidence-based approaches (pp. 41–57). American Psychological Association. https://doi.org/10.1037/14855-004.

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Correspondence to Leann V. Smith.

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Research Involving Human Participants and/or Animals

This research study was conducted retrospectively from data obtained for clinical purposes. We consulted extensively with the data collection site’s IRB who determined that our study did not need ethical approval. An IRB official waiver of ethical approval was granted from the IRB of data collection site.

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No identifying information was collected as part of this study. All data was gathered as de-identified from pre-existing educational/clinical records.

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Smith, L.V., Graves, S.L. An Exploration of Gender Invariance of the WISC-V Among Black Children in an Urban School District. Contemp School Psychol 25, 170–182 (2021). https://doi.org/10.1007/s40688-020-00307-8

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