Clinical Validation of the General Ability Index—Estimate (GAI-E): Estimating Premorbid GAI

Abstract

The clinical utility of the General Ability Index—Estimate (GAI-E; Lange, Schoenberg, Chelune, Scott, & Adams, 2005 Lange , R. , Schoenberg , M. , Chelune , G. , Scott , J. , & Adams , R. ( 2005 ). Development of the WAIS-III General Ability Index Estimate (GAI-E) The Clinical Neuropsychologist , 19 , 73 – 86 . [INFOTRIEVE] [CSA] [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) for estimating premorbid GAI scores was investigated using the WAIS-III standardization clinical trials sample (The Psychological Corporation, 1997 The Psychological Corporation . ( 1997 ). Wechsler Adult Intelligence Scale—3rd Edition/Wechsler Memory Scale—3rd Edition (WAIS-III/WMS-III) Technical Manual . San Antonio , TX : Author . [Google Scholar]). The GAI-E algorithms combine Vocabulary, Information, Matrix Reasoning, and Picture Completion subtest raw scores with demographic variables to predict GAI. Ten GAI-E algorithms were developed combining demographic variables with single subtest scaled scores and with two subtests. Estimated GAI are presented for participants diagnosed with dementia (n = 50), traumatic brain injury (n = 20), Huntington's disease (n = 15), Korsakoff's disease (n = 12), chronic alcohol abuse (n = 32), temporal lobectomy (n = 17), and schizophrenia (n = 44). In addition, a small sample of participants without dementia and diagnosed with depression (n = 32) was used as a clinical comparison group. The GAI-E algorithms provided estimates of GAI that closely approximated scores expected for a healthy adult population. The greatest differences between estimated GAI and obtained GAI were observed for the single subtest GAI-E algorithms using the Vocabulary, Information, and Matrix Reasoning subtests. Based on these data, recommendations for the use of the GAI-E algorithms are presented.

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