Is the demise of IQ interpretation justified? A response to special issue authors

Applied Neuropsychology

Volumn 14, Issue 1, 2007, Pages 37-51

  Hale, James B ^a   Fiorello, Catherine A ^b   Kavanagh, Jack A ^c   Holdnack, James A ^d   Aloe, Ariel M ^e  

^a PHILADELPHIA COLLEGE OF OSTEOPATHIC MEDICINE   (United States)

^b TEMPLE UNIVERSITY   (United States)

^c LOYOLA UNIVERSITY CHICAGO   (United States)

^d Harcourt Assessment Inc   (United States)

^e FLORIDA STATE UNIVERSITY   (United States)

Author keywords

Idiographic; Intelligence; IQ; Nomothetic; Process approach

Indexed keywords

ATTENTION DEFICIT DISORDER; COGNITION; DISABILITY; EDUCATION; HUMAN; INTELLIGENCE QUOTIENT; PHYSICIAN; REGRESSION ANALYSIS; REVIEW; SCORING SYSTEM; STATISTICAL ANALYSIS; WORKING MEMORY;

EID: 34250688206     PISSN: 09084282     EISSN: 15324826     Source Type: Journal    
DOI: 10.1080/09084280701280445     Document Type: Review

References (60)

1. Anastasi, A., & Urbina, S. (1997). Psychological testing (7th ed.). Upper Saddle River, NJ: Prentice-Hall.
2. Bentler, P. M. (1988). Causal modeling via structural equation systems. In J. R. Nesselroade & R. B. Cattell (Eds.), Handbook of multivariate experimental psychology (2nd ed.). (pp. 317-335). New York: Plenum.
3. Berninger, V. (2002). Brain literacy for educators and psychologists. New York: Academic Press.
4. Braden, J. P., & Kratochwill, T. R. (1997). Treatment utility of assessment: Myths and realitites. School Psychology Review, 26, 475-485.
5. Calhoun, S. L., & Mayes, S. D. (2005). Processing speed in children with clinical disorders. Psychology in the Schools, 42, 333-343.
6. Carroll, J. B. (1997). Psychometrics, intelligence, and public perception. Intelligence, 24, 25-52.
7. Castellanos, F. X., Lee, P. P., Sharp, W., Jeffries, N. O., Greenstein, D. K., Clasen, L. S., et al. (2002). Developmental trajectories of brain volume abnormalities in children and adolescents with attention-deficit/hyperactivity disorder. Journal of the American Medical Association, 288, 1740-1748.
8. Chambers, R. L. (1986). Outlier robust finite population estimation. Journal of the American Statistical Association, 81, 1063-1069.
9. Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum.
10. Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52, 281-302.
11. Dana J., & Dawes, R. (2007). Comment on Fiorello et al. "Interpreting intelligence test results for children with disabilities: Is global intelligence relevant?" Applied Neuropsychology, 14, 21-25.
12. DeShon, R. P., & Alexander, R. A. (1996). Alternative procedures for testing regression slope homogeneity when group error variances are unequal. Psychological Methods, 1, 261-277.
13. Draper, N. R., & Smith, H. (1998). Applied regression analysis (3rd ed.). New York: Wiley-Interscience.
14. Faust, D. (2007). Some global and specific thoughts about some global and specific issues. Applied Neuropsychology, 14, 26-36.
15. Fiorello, C. A., Hale, J. B., McGrath, M., Ryan, K., & Quinn, S. (2001). IQ interpretation for children with flat and variable test profiles. Learning and Individual Differences, 13, 115-125.
16. Fiorello, C. A., Hale, J. B., & Snyder, L. E. (2006). Cognitive hypothesis testing and response to intervention for children with reading problems. Psychology in the Schools, 43, 835-853.
17. Flanagan, D. P., McGrew, K. S., & Ortiz, S. O. (2000). The Wechsler intelligence scales and Gf-Gc theory: A contemporary interpretive approach. Boston, MA: Allyn & Bacon.
18. Fletcher, J. M., Lyon, G. R., Barnes, M., Stuebing, K. K., Francis, D. J., Olson, R. K., et al. (2002). Classification of learning disabilities: An evidence-based evaluation. In R. Bradley, I. Danielson, & D. P. Hallahan (Eds.), Identification of learning disabilities: Research to practice (pp. 185-250). Mahwah, NJ: Lawrence Erlbaum.
19. Francis, D. J., Shaywitz, S. E., Stuebing, K. K., Shaywitz, B. A., & Fletcher, J. M. (1996). Developmental delay versus deficit models of reading disability: A longitudinal, individual growth curve analysis. Journal of Educational Psychology, 88, 3-17.
20. Freedman, D. A. (1997). From association to causation via regression. Advances in applied mathematics, 18, 59-110.
21. Fuchs, D., Mock, D., Morgan, P., & Young, C. (2003). Responsiveness-to-intervention: Definitions, evidence, and implications fro the learning Disabilities Construct. Learning Disabilities Research & Practice, 18, 157-171.
22. Georgas, J., Weiss, L. G., van de Vijer, F. J. R., & Saklofske, D. H. (2003). Culture and children's intelligence. San Francisco, CA: Academic Press.
23. Glutting, J. J., Youngstrom, E. A., Ward, T., Ward, S., & Hale, R. L. (1997). Incremental efficacy of WISC-III factor scores in predicting achievement: What do they tell us? Psychological Assessment, 9, 295-301.
24. Gottfredson, L. S. (1997). Why g matters: The complexity of everyday life. Intelligence, 24, 79-132.
25. Hale, J. B., & Fiorello, C. A. (2001). Beyond the academic rhetoric of g: Intelligence testing guidelines for practitioners. The School Psychologist, 55(4), 113-139.
26. Hale, J. B., & Fiorello, C. A. (2004). School neuropsychology: A practitioner's handbook. New York: Guilford Press.
27. Hale, J. B., Fiorello, C. A., & Brown, L. (2005). Determining medication treatment effects using teacher ratings and classroom observations of children with ADHD: Does neuropsychological impairment matter? Educational and Child Psychology, 22, 39-61.
28. Hale, J. B., Fiorello, C. A., Bertin, M., & Sherman, R. (2003). Predicting math competency through neuropsychological interpretation of WISC-III variance components. Journal of Psychoeducational Assessment, 21, 358-380.
29. Hale, J. B., Fiorello, C. A., Kavanagh, J. A., Hoeppner, J. B., & Gaither, R. A. (2001). WISC-III predictors of academic achievement for children with learning disabilities: Are global and factor scores comparable? School Psychology Quarterly, 16, 31-55.
30. Hale, J. B., Hoeppner, J. B., & Fiorello, C. A. (2002). Analyzing Digit Span components for assessment of attention processes. Journal of Psychoeducational Assessment, 20, 128-143.
31. Hale, J. B., Kaufman, A. S., Naglieri, J. A., & Kavale, K. A. (2006). Implementation of IDEA: Integrating response to intervention and cognitive assessment methods. Psychology in the Schools, 43, 753-770.
32. Hale, J. B., Naglieri, J. A., Kaufman, A. S., & Kavale, K. A. (2004). Specific learning disability classification in the new Individuals with Disabilities Education Act: The danger of good ideas. The School Psychologist, 58, 6-13.
33. Herrnstein, R. J., & Murray, C. (1994). The bell curve: Intelligence and class structure in American life. New York: Free Press.
34. Horn, J. L. (2007). Understanding human intelligence: Where have we come since Spearman? In R. Cudeck & R. MacCallum (Eds.), Factor analysis at 100. Historical developments and future directions. Florence, KY: Taylor & Francis.
35. Jensen, A. R. (1998). The g factor: The science of mental ability. Westport, CT: Praeger.
36. Johnson, B. (2001). Toward a new classification of nonexperimental quantitative research. Educational Researcher, 30, 3-13.
37. Kaplan, E. (1988). A process approach to neuropsychological assessment. In T. Boll & B. K. Bryant (Eds.), Clinical neuropsychology and brain function: Research, measurement, and practice (pp. 129-231). Washington, DC: American Psychological Association.
38. Kavale, K. A., Kaufman, A., Naglieri, J., & Hale, J. (2005) Changing procedures for identifying learning disabilities: The danger of poorly supported ideas. The School Psychologist, 59, 15-25.
39. Keith, T. Z., Fine, J. G., Reynolds, M. R., Taub, G. E., & Kranzler, J. H. (2006). Higher-order, multi-sample, confirmatory factor analysis of the Wechsler Intelligence Scale for Children - Fourth Edition: What does it measure? School Psychology Review, 35, 108-127.
40. Kranzler, J. H. (1997). Educational and policy issues related to the use and interpretation of intelligence tests in the schools. School Psychology Review, 26, 150-162.
41. Lezak, M. D. (1988). IQ:RIP. Journal of Clinical and Experimental Neuropsychology, 10, 351-361.
42. Luria, A. R. (1973). The working brain. Baltimore, MD: Penguin Books.
43. Luria, A. R. (1979). The making of mind: A personal account of Soviet psychology. Cambridge, MA: Harvard University Press.
44. Mather, N., & Jaffe, L. E. (2002). Woodcock Johnson-III: Reports, recommendations, and strategies. New York: Wiley.
45. Mayes, S. D., & Calhoun, S. L. (2004). Similarities and differences in WISC-III profiles: Support for subtest analysis in clinical referrals. Clinical Neuropsychologist, 18, 559-572.
46. Mayes, S. D., & Calhoun, S. L. (2006). WISC-IV and WISC-III profiles in children with ADHD. Journal of Attention Disorders, 9, 486-493.
47. McDermott, P. A., Fantuzzo, J. W., & Glutting, J. J. (1990). Just say no to subtest analysis: A critique on Wechsler theory and practice. Journal of Psychoeducational Assessment, 8, 290-302.
48. Naglieri, J. A. (2003). Current advances in assessment and intervention for children with learning disabilities. In T. E. Scruggs and M. A. Mastropieri (Eds.), Advances in learning and behavioral disabilities Volume 16: Identification and assessment (pp. 163-190). New York: JAI.
49. Naglieri, J. A., & Pickering, E. (2003). Helping children learn: Intervention handouts for use in school and at home. Baltimore, MD: Brookes.
50. Pearl, J., & Verma, T. (1991). A theory of inferred causation. In J. A. Allen, R. Fikes, & E. Sandewall (Eds.), Principles of knowledge representation and reasoning: Proceedings of the second international conference (pp. 441-452). San Mateo, CA: Morgan-Kaufmann.
51. Pedhazur, E. J. (1997). Multiple regression in behavioral research: Explanation and prediction (3rd ed.). Orlando, FL: Holt, Rinehart & Winston.
52. Pfeiffer, S. I., Reddy, L. A., Kletzel, J. E., Schmelzer, E. R., & Boyer, L. M. (2000). The practitioner's view of IQ testing and profile analysis. School Psychology Quarterly, 15, 376-385.
53. Riccio, C. A. (1998, August). There measurable biological substrates to Verbal-Performance differences in Wechsler scores. Paper presented at the American Psychological Association Annual Convention, San Francisco, CA.
54. Rushton, J. P., & Jensen, A. R. (2005). Thirty years of research on race differences in cognitive Ability. Psychology, Public Policy, and Law, 11, 235-294.
55. Sattler, J. M. (2001). Assessment of children: Cognitive applications. San Diego, CA: Author.
56. Semrud-Clikeman, M. (2005). Neuropsychological aspects for evaluating learning disabilities. Journal of Learning Disabilities, 38, 563-568.
57. Watkins, M. W., & Canivez, G. L. (2004). Temporal stability of WISC-III subtest composite: Strengths and weaknesses. Psychological Assessment, 16, 133-138.
58. Watkins, M. W., Glutting, J. J., & Lei, P.-W. (2007). Validity of the full-scale IQ when there is significant variability among WISC-III and WISC-IV factor scores. Applied Neuropsychology, 14, 13-20.
59. Wechsler, D. (2003). Wechsler Intelligence Scale for Children -fourth edition (WISC-IV) manual. San Antonio, TX: The Psychological Corporation.
60. Woodcock, R. W., McGrew, K. S., & Mather, N. (2001). Woodcock-Johnson Psycho-Educational Battery Third Edition (WJ III). Itasca, IL: Riverside.