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Sternberg, Robert J.; Bonney, Christina R.; Gabora, Liane; Merrifield, Maegan – Educational Psychologist, 2012
This article outlines shortcomings of currently used university admissions tests and discusses ways in which they could potentially be improved, summarizing two projects designed to enhance college and university admissions. The projects were inspired by the augmented theory of successful intelligence, according to which successful intelligence…
Descriptors: Intelligence, College Students, Grade Point Average, Prediction
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Coyle, Thomas R.; Pillow, David R. – Intelligence, 2008
This research examined whether the SAT and ACT would predict college grade point average (GPA) after removing g from the tests. SAT and ACT scores and freshman GPAs were obtained from a university sample (N=161) and the 1997 National Longitudinal Study of Youth (N=8984). Structural equation modeling was used to examine relationships among g, GPA,…
Descriptors: Intelligence, Grade Point Average, Structural Equation Models, Predictive Validity
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Bailey, Kent G.; Federman, Edward J. – Journal of Clinical Psychology, 1979
The purpose of this research was to further study the breadth and depth dimensions of the WAIS similarities and vocabulary subscales by factor analyzing several measures of intelligence: a comprehension index, SAT scores, and grade point average (GPA). (Author/SJL)
Descriptors: College Entrance Examinations, College Students, Factor Analysis, Factor Structure
Bhushan, Vidya – 1970
High school teachers and counselors, especially those concerned with the lower grade levels, should take into consideration a student's socioeconomic background along with his intellective factors whenever his academic performance is predicted. In lower grades where intelligence tests cannot be given effectively, socioeconomic status (SES) index…
Descriptors: Academic Achievement, Economic Factors, Family Status, Grade Point Average
Philippus, M. J. – 1967
Thirty bilingual Hispanoamerican students between the ages of eight and thirteen were given verbal and non-verbal intelligence tests which were then correlated with overall school grade point average. Non-verbal tests resulted in higher correlations; the Raven Colored Progressive Matrices appeared to be the best predictor of school successes of…
Descriptors: Bilingual Students, Elementary School Students, Grade Point Average, Intelligence