Abstract
The clinical utility of the Oklahoma Premorbid Intelligence Estimate – 3 (OPIE-3; Schoenberg, Scott, Duff, & Adams, 2002) in estimating premorbid FSIQ was investigated with the WAIS-III standardization sample. The OPIE-3 algorithms combine Vocabulary, Information, Matrix Reasoning, and Picture Completion subtest raw scores with demographic variables to predict FSIQ. Estimated WAIS-III FSIQ scores are presented for patients’ diagnosed with dementia, traumatic brain injury, Huntington’s disease, Korsakoff’s disease, chronic alcohol use, temporal lobectomy, and schizophrenia. A group of patients with depression was employed as a clinical control group. The OPIE-3Vand OPIE-3MR algorithms performed well, with the average predicted FSIQ of the combined clinical sample approximating the mean FSIQ of healthy adults. The OPIE-3(Best), which is a procedure that employs either the OPIE-3V, OPIE-3MR, or OPIE-3(2ST) algorithms in a best performance method, is presented. Recommendations in the application of the OPIE-3 are made and future research is proposed.
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