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Reading Based IQ Estimates and Actual Premorbid Cognitive Performance: Discrepancies in a College Athlete Sample

Published online by Cambridge University Press:  12 October 2011

Amanda R. Rabinowitz*
Affiliation:
Psychology Department, The Pennsylvania State University, University Park, Pennsylvania
Peter A. Arnett
Affiliation:
Psychology Department, The Pennsylvania State University, University Park, Pennsylvania
*
Correspondence and reprint requests to: Amanda R. Rabinowitz, Department of Psychology, The Pennsylvania State University, 422 Moore Building, University Park, PA 16802-3106. E-mail: arr200@psu.edu

Abstract

The present study sought to evaluate the Wechsler Test of Adult Reading (WTAR) Full-Scale IQ (FSIQ) estimate as an index of premorbid ability in a sample 574 of healthy college athletes participating in a sports concussion management program. We compared baseline neuropsychological test performance with the WTAR FSIQ estimate obtained at baseline. Results revealed that the discrepancy between actual neuropsychological test scores and the WTAR FSIQ estimate was greatest for those with estimated FSIQs greater than 107. The clinical implication of this finding was evaluated in the 51 participants who went on to sustain a concussion. For individuals with higher IQ estimates, the WTAR estimate obtained post-concussion suggested greater post-concussion decline than that indicated by comparison with actual baseline neuropsychological performance. (JINS, 2012, 18, 139–143)

Type
Brief Communications
Copyright
Copyright © The International Neuropsychological Society 2011

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References

Bailey, C.M., Echemendia, R.J., Arnett, P.A. (2005). Visual memory predicts concussion status independent of verbal memory and post-mild traumatic brain injury symptoms in college athletes. Paper presented at the 33rd annual meeting of the International Neuropsychological Society.Google Scholar
Benedict, R.H. (1997). Brief Visuospatial Memory Test – Revised: Professional manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Benedict, R.H., Schretlen, D., Groninger, L., Brandt, J. (1998). Hopkins Verbal Learning Test-Revised: Normative data and analysis of inter-form and test-retest reliability. The Clinical Neuropsychologist, 12(1), 4355.CrossRefGoogle Scholar
Bohnen, N., Twijnstra, A., Jolles, J. (1992). Performance in the Stroop color word test in relationship to the persistence of symptoms following mild head injury. Acta Neurologica Scancdinavica, 85, 116121.CrossRefGoogle Scholar
Bruce, J.M., Echemendia, R.J. (2003). Delayed-onset deficits in verbal encoding strategies among patients with mild traumatic brain injury. Neuropsychology, 17(4), 622629.CrossRefGoogle ScholarPubMed
Diaz-Asper, C.M., Schretlen, D.J., Pearlson, G.D. (2004). How well does IQ predict neuropsychological test performance in normal adults? Journal of the International Neuropsychological Society, 10(1), 8290.CrossRefGoogle ScholarPubMed
Dodrill, C.B. (1997). Myths of neuropsychology. The Clinical Neuropsychologist, 11(1), 117.CrossRefGoogle Scholar
Hawkins, K.A., Tulsky, D.S. (2001). The influence of IQ stratification on WAIS-III/WMS-III FSIQ-General Memory Index discrepancy base-rates in the standardization sample. Journal of the International Neuropsychological Society, 7(7), 875880.CrossRefGoogle ScholarPubMed
Hochberg, R., Rom, D. (1995). Extensions of multiple testing procedures based on Simes’ test. Journal of Statistical Planning and Inference, 48(2), 141152.CrossRefGoogle Scholar
Iverson, G.L., Lovell, M.R., Collins, M.W. (2005). Validity of ImPACT for measuring processing speed following sports-related concussion. Journal of Clinical and Experimental Neuropsychology, 27(6), 683689.CrossRefGoogle ScholarPubMed
Jacobson, N.S., Truax, P. (1991). Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. Journal of Consulting and Clinical Psychology, 59(1), 1219.CrossRefGoogle ScholarPubMed
Lovell, M.R., Collins, M.W., Podell, K., Powell, J., Maroon, J. (2000). ImPACT: Immediate post-concussion assessment and cognitive testing. Computer software. Pittsburgh, PA: NeuroHealth Systems, LLC.Google Scholar
Ponsford, J., Kinsella, G. (1992). Attentional deficits following closed-head injury. Journal of Clinical and Experimental Neuropsychology, 14(5), 822838.CrossRefGoogle ScholarPubMed
Schatz, P., Pardini, J.E., Lovell, M.R., Collins, M.W., Podell, K. (2006). Sensitivity and specificity of the ImPACT Test Battery for concussion in athletes. Archives of Clinical Neuropsychology, 21(1), 9199.CrossRefGoogle ScholarPubMed
Schretlen, D.J., Buffington, A.L., Meyer, S.M., Pearlson, G.D. (2005). The use of word-reading to estimate premorbid ability in cognitive domains other than intelligence. Journal of the International Neuropsychological Society, 11(6), 784787.CrossRefGoogle ScholarPubMed
Smith, A. (1982). Symbol Digit Modalities Test (SDMT) Manual (Revised). Los Angeles: Western Psychological Services.Google Scholar
The Psychological Corporation. (2001). The Wechsler Test of Adult Reading (WTAR):Test manual. San Antonio, TX: The Psychological Corporation.Google Scholar
Trenerry, M.R., Crosson, B., DeBoe, J., Leber, W.R. (1989). Stroop neuropsychological screening test. Odessa, FL: Psychological Assessment Resources.Google Scholar
Wechsler, D. (1997). Wechsler Adult Intelligence Scale-III (WAIS-III). New York: Psychological Corporation.Google Scholar
Williams, R.H., Zimmerman, D.W. (1977). The reliability of difference scores when errors are correlated. Educational and Psychological Measurement, 37, 679689.CrossRefGoogle Scholar