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11 - Success Is a Latent Variable: How Alan Kaufman Shaped Intelligence Test Theory, Interpretation, and Psychometrics with Factor Analysis

Published online by Cambridge University Press:  05 August 2012

Jason C. Cole
Affiliation:
Institute of Consulting Measurement Group
James C. Kaufman
Affiliation:
California State University, San Bernardino
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Summary

Kaufman (1990) has noted that there seems nothing more irresistible to a psychometrician than factor analysis of an IQ test. I certainly fall into that category, and therefore jumped at the opportunity to provide a chapter on Alan's influence on and with factor analysis for this book. The Kaufman Intelligent Testing system is one of the most widely used tools in cognitive assessment, which essentially mandates assessors validate the use of factors for each person they assess. I therefore do not find it an overstatement to say that Alan Kaufman's imprint on cognitive assessment with and on factor analysis is not only veritably omnipresent, but perhaps unparalleled.

Before I get too carried away discussing how Kaufman has used and refined factor analysis to the benefit of the study of cognitive assessment, I feel it appropriate to begin with a limitation. Above all, Kaufman places the most emphasis on understanding the person behind the test scores rather than the interrelationships among the measures used. “Many psychological reports stress what the scales or subtests measure instead of what aspects of the person are particularly well developed or in need of improvement; many reports are so number-oriented that the reader loses sight of the person's uniquenesses” (Kaufman & Lichtenberger, 2006, p. 22). Hence, part of the intelligent testing system of interpreting results from an IQ test is to assure that the person is always the center of attention, not the psychometrics.

Type
Chapter
Information
Intelligent Testing
Integrating Psychological Theory and Clinical Practice
, pp. 157 - 170
Publisher: Cambridge University Press
Print publication year: 2009

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References

Arbuckle, J.L. (2006). AMOS (Version 7.0). Chicago, IL: Small Waters.Google Scholar
Cohen, J. (1952). A factor-analytically based rationale for the Wechsler–Bellevue. Journal of Consulting Psychology, 16, 272–277.CrossRefGoogle ScholarPubMed
Cohen, J. (1957). A factor-analytically based rationale for the Wechsler Adult Intelligence Scale. Journal of Consulting Psychology, 21, 451–457.CrossRefGoogle ScholarPubMed
Cohen, J.C., Kaufman, J.C., & Dang, J. (in press). Ethnic and gender invariance on the KABC-II: A multigroup structural validation for ages 7–18 years. International Journal of Testing.
Cole, J.C., Motivala, S.J., Khanna, D., Lee, J.Y., Paulus, H.E., & Irwin, M.R. (2005). Validation of a single-factor structure and the scoring protocol for the Health Assessment Questionnaire-Disability Index (HAQ-DI). Arthritis Care and Research, 53, 536–542.CrossRefGoogle Scholar
Comrey, A.L., & Lee, H.B. (1992). A First Course in Factor Analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Daleo, D.V., Lopez, B.R., Cole, J.C., Kaufman, A.S., Kaufman, N.L., Newcomer, B.L., et al. (1999). K-ABC simultaneous processing, DAS non-verbal reasoning, and Horn's expanded fluid-crystallized theory. Psychological Reports, 84, 563–574.CrossRefGoogle Scholar
Dawes, R.M., Faust, D., & Meehl, P.E. (1989). Clinical versus actuarial judgment. Science, 243, 1668–1673.CrossRefGoogle ScholarPubMed
Floyd, F.J., & Widaman, K.F. (1995). Factor analysis in the development of clinical assessment instruments. Psychological Assessment, 7, 286–299.CrossRefGoogle Scholar
Gorsuch, R.L. (1983). Factor Analysis. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Groth-Marnat, G. (1997). Handbook of Psychological Assessment (3rd ed.). New York: Wiley.Google Scholar
Horn, J.L. (1991). Measurement of intellectual capabilities: A review of theory. In McGrew, K.S., Werder, J.K. & Woodcock, R.W. (Eds.), Woodcock-Johnson Technical Manual: A Reference on Theory and Current Research (pp. 197–246). Allen, TX: DLM Teaching Resources.Google Scholar
Horn, J.L., & Cattell, R.B. (1966). Refinement and test of the theory of fluid and crystallized intelligence. Journal of Educational Psychology, 57, 253–270.CrossRefGoogle Scholar
Hu, L.-t., &Bentler, P.M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.CrossRefGoogle Scholar
Kaufman, A.S. (1975). Factor analysis of the WISC-R at 11 age levels between 6 1/2 years and 16 1/2 years. Journal of Consulting and Clinical Psychology, 43, 135–147.CrossRefGoogle Scholar
Kaufman, A.S. (1976a). A new approach to the interpretation of test scatter on the WISC-R. Journal of Learning Disabilities, 9, 160–168.CrossRefGoogle Scholar
Kaufman, A.S. (1976b). Verbal-Performance IQ discrepancies on the WISC-R. Journal of Consulting and Clinical Psychology, 44 (739–744).CrossRefGoogle Scholar
Kaufman, A.S. (1979). Intelligent Testing with the WISC-R. New York: Wiley.Google Scholar
Kaufman, A.S. (1990). Assessing Adolescent and Adult Intelligence. Boston, MA: Allyn and Bacon.Google Scholar
Kaufman, A.S. (1993). Joint exploratory factor analysis of the Kaufman Assessment Battery for Children and the Kaufman Adolescent and Adult Intelligence Test for 11- and 12-year olds. Journal of Clinical Child Psychology, 22, 355–364.CrossRefGoogle Scholar
Kaufman, A.S. (1994). Intelligent Testing with the WISC-III. New York: Wiley.Google Scholar
Kaufman, A.S., Ishikuma, T., & Kaufman, N.L. (1994a). A horn analysis of the factors measured by the WAIS-R, Kaufman adolescent and adult intelligence test (KAIT), and two new brief cognitive measures for normal adolescents and adults. Assessment, 1, 353–366.CrossRefGoogle Scholar
Kaufman, A.S., Ishikuma, T., & Kaufman, N.L. (1994b). Joint factor structure of the WISC-R and K-ABC for referred school children. Assessment, 1, 353–366.CrossRefGoogle Scholar
Kaufman, A.S., & Kaufman, N.L. (1983). Kaufman Assessment Battery for Children (K-ABC) Interpretive Manual. Circle Pines, MN: American Guidance Service.Google Scholar
Kaufman, A.S., & Kaufman, N.L. (2004). Kaufman Assessment Battery for Children – Second Edition (KABC-II) Administration and Scoring Manual. Circle Pines, MN: American Guidance Service.Google Scholar
Kaufman, A.S., & Lichtenberger, E.O. (2006). Assessing Adolescent and Adult Intelligence (3rd ed.). New York: Wiley.Google Scholar
Kaufman, A.S., & McLean, J.E. (1986). K-ABC/WISC-R factor analysis for a learning disabled population. Journal of Learning Disabilities, 19, 145–153.CrossRefGoogle ScholarPubMed
Kaufman, A.S., & McLean, J.E. (1987). Joint factor analysis of the K-ABC and WISC-R with normal children. Journal of School Psychology, 25, 105–118.CrossRefGoogle Scholar
Kaufman, A.S., & O'Neil, M. (1988). Analysis of the cognitive, achievement, and general factors underlying the Woodcock-Johnson Psycho-Educational Battery. Journal of Clinical Child Psychology, 17, 143–151.CrossRefGoogle Scholar
Keith, T.Z., & Novak, C.G. (1987). Joint factor structure of the WISC-R and K-ABC for referred school children. Journal of Psychoeducational Assessment, 5, 370–386.CrossRefGoogle Scholar
Kline, R.B. (2006). Formative measurement and feedback loops. In Hancock, G.R. & Mueller, R.O. (Eds.), Structural Equation Modeling: A Second Course (pp. 43–68). Greenwich, CT: Information Age Publishing.Google Scholar
Lezak, M.D. (1988). IQ: R.I.P. Journal of Clinical and Experimental Neuropsychology, 10, 351–361.CrossRefGoogle ScholarPubMed
Lichtenberger, E.O., Broadbooks, D.A., & Kaufman, A.S. (2000). Essentials of Cognitive Assessment with KAIT and Other Kaufman Measures. New York: Wiley.Google Scholar
Luria, A.R. (1966). Higher Cortical Functions in Man. New York: Harper & Row.Google Scholar
Luria, A.R. (1970). The functional organization of the brain. Scientific American, 222, 66–78.CrossRefGoogle Scholar
Luria, A.R. (1973). The Working Brain: An Introduction to Neuropsychology. New York: Basic Books.Google Scholar
Naglieri, J.A., & Jensen, A.R. (1987). Comparison of black-white differences on the WISC-R and the K-ABC: Spearman's hypothesis. Intelligence, 11, 21–43.CrossRefGoogle Scholar
Niklasson, L., Rasmussen, P., Óskarsdóttir, S., & Gillberg, C. (2005). Attention deficits in children with 22q.11 deletion syndrome. Developmental Medicine & Child Neurology, 47, 803–807.CrossRefGoogle ScholarPubMed
Preacher, K.J., & MacCallum, R.C. (2003). Repairing Tom Swift's electric factor analysis machine. Understanding Statistics, 2, 13–43.CrossRefGoogle Scholar
Reynolds, M.R., Keith, T.Z., Fine, G.J., Fisher, M.E., & Low, J. (in press). Confirmatory factor structure of the Kaufman Assessment Battery for Children - Second Edition: Consistency with Cattell-Horn-Carroll theory. School Psychology Review.
Schumacker, R.E., & Lomax, R.G. (2004). A Beginner's Guide to Structural Equation Modeling (2nd ed.). Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Sperry, R.W. (1968). Hemispheric deconnection and unity in conscious awareness. American Psychologist, 23, 723–733.CrossRefGoogle Scholar
Vandenberg, R.J., & Lance, C.E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–70.CrossRefGoogle Scholar
Wechsler, D. (1974). Manual for the Wechsler Intelligence Scale for Children - Revised (WISC-R). San Antonio, TX: Psychological Corporation.Google Scholar
Woodcock, R.W. (1990). Theoretical foundations of the WJ-R measures of cognitive ability. Journal of Psychoeducational Assessment, 8, 231–258.CrossRefGoogle Scholar

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