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The Relative Efficiencey of the Wechsler Adult Intelligence Scale (WAIS) as a Predictor of College Academic Achievement

This study examined the predictive validity of the WAIS in an academic setting. Traditional WAIS IQ scores and subtests of 127 male and 163 female college students were correlated with Grade Point Averages at the end of four semesters and within five academic areas. Five groups were examined including the total group, male group, female group, black group, and white group. The academic University's general and Communication of areas investigated corresponded to the education requirements; Organization Ideas, Humanities, Social and Behavioral Studies, Natural Science and Mathematics, and Physical Development. Results indicated that dictor of both semester GPA and five groups. Full Scale IQ was Verbal IQ was the best preacademic area GPA for the the second best overall indicator. Verbal IQ for blacks was a better predictor of success in college than it was for whites. Verbal abilities appeared more important for blacks than whites in terms of how well they did in school. WAIS IQ tended to best predict first semester GPA and the areas of Social and Behavioral Studies, Organization and Communication of Ideas, Natural Sciences and Mathematics, Humanities and Physical Development, in that order. WAIS Verbal subtests were more efficient predictors than were the Performance subtests. The Digit Span and Arithmetic subtests of the Verbal scale and all five of the Performance subtests appeared to be of negligible value in predicting academic achievement. The highest correlations were found in the Vocabulary subtest, then Similarities and Information, and finally Comprehension. The female group had consistently higher correlation coefficients in every Performance subtest across all semesters and in each of the five academic areas.

Identiferoai:union.ndltd.org:WKU/oai:digitalcommons.wku.edu:theses-3255
Date01 April 1978
CreatorsDennis, Ollie
PublisherTopSCHOLAR®
Source SetsWestern Kentucky University Theses
Detected LanguageEnglish
Typetext
Formatapplication/pdf
SourceMasters Theses & Specialist Projects

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