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10 - Kaufman's Work in the Penumbra between Measurement Science and Clinical Assessment

Published online by Cambridge University Press:  05 August 2012

Randy W. Kamphaus
Affiliation:
Georgia State University
Cecil R. Reynolds
Affiliation:
Texas A & M University
James C. Kaufman
Affiliation:
California State University, San Bernardino
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Summary

Like all chapters in this book, we wish to document another one of Dr. Alan S. Kaufman's contributions, one that we think is of greatest impact on the disciplines of psychology, school psychology, educational psychology, and related fields. We think that his most innovative work, and the contribution likely to have the most long-term impact, was his joining of the two disciplines of measurement science and clinical assessment practice. He did so by essentially creating a new methodology of intelligence test interpretation, a method that has spread to clinical assessment practice in general, and it may be characterized in today's terminology as an early form of “evidence-based” test interpretive practice, one that emphasizes a psychometric approach to evaluating individual performance on a battery of tests as expressed as test scores.

Professor Kaufman's innovative insight is typical of breakthroughs that are made in the space between traditional boundaries, in this case, between two disciplines that were not closely aligned prior to the publication of his seminal 1979 work, Intelligent Testing with the WISC-R. His work takes its place alongside other breakthroughs such as the merger of mathematical modeling and chemistry to form the field of quantitative chemistry, combining the fields of physics and mathematics to create magnetic resonance imaging equipment, and merging information technology and health care to create the field of health informatics.

Type
Chapter
Information
Intelligent Testing
Integrating Psychological Theory and Clinical Practice
, pp. 148 - 156
Publisher: Cambridge University Press
Print publication year: 2009

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References

Cohen, J. (1959). The factorial structure of the WISC at ages 7-6, 10-6, and 13-6. Journal of Consulting Psychology, 23, 285–299.CrossRefGoogle Scholar
Kamphaus, R.W. (1999). Intelligence test interpretation: Acting in the absence of evidence. In Prifitera, A. & Saklofske, D. (Eds.). WISC-III Clinical Use and Interpretation: Scientist – Practitioner Perspectives (pp. 39–57). San Diego, CA: Academic Press.Google Scholar
Kamphaus, R.W. (2001). Clinical Assessment of Children's Intelligence (2nd Ed.). Needham Heights, MA: Allyn & Bacon.Google Scholar
Kamphaus, R.W., Rowe, E.W., Winsor, A.P., & Kim, S. (2005). A history of intelligence test interpretation. In Flanagan, D. & Harrison, P. (3rd Ed) (Eds.). Contemporary Intellectual Assessment (pp. 23–38). New York: Guilford.Google Scholar
Kaufman, A.S. (1975). Factor Analysis of the WISC-R at eleven age levels between 6 ½ and 16 ½ years. Journal of Consulting and Clinical Psychology, 43, 135–147.CrossRefGoogle Scholar
Kaufman, A.S. (1979). Intelligent Testing with the WISC-R. New York: Wiley.Google Scholar
Rapaport, D., Gil, M., & Schafer, R. (1945–1946). Diagnostic Psychological Testing (2 Vols.). Chicago, IL: Year Book Medical.CrossRefGoogle Scholar
Reynolds, C.R., & Kamphaus, R.W. (2003). Reynolds Intellectual Assessment Scales and Reynolds Intellectual Screening Test: Professional Manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Seashore, R.H. (1951) Work & motor performance. In Stevens, S. S. (Ed.), Handbook of experimental psychology. New York: Wiley.Google Scholar

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