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Peer reviewedVickers, John M. – Research in Higher Education, 2000
Examines structural features of grade point averages (GPAs) and offers examples showing that GPAs cannot consistently determine class rank since class rank is sometimes permuted with arbitrary change of scale. Notes relativistic efforts to resolve inconsistencies are insufficient. Discusses the function of GPAs as predictors of academic…
Descriptors: Class Rank, Comparative Analysis, Grade Point Average, Higher Education
Peer reviewedShigemasu, Kazuo – Journal of Educational Statistics, 1976
Context for the application and specialization of a Bayesian linear model is m-group regression and the application to the prediction of grade point average. Specialization involves the assumption of homogeneity of regression coefficients (but not intercepts) across groups. Model's predictive efficiency is compared with that of the full m-group…
Descriptors: Bayesian Statistics, Comparative Analysis, Grade Point Average, Least Squares Statistics
Download full textDowney, Ronald G.
Previous research has studied the effects of different methods of item option weighting on the reliability and concurrent and predictive validity of achievement tests. Increases in reliability are generally found, but with mixed results for validity. Several methods of producing option weights, (i.e., Guttman internal and external weights and…
Descriptors: Achievement Tests, Comparative Analysis, Correlation, Grade Point Average
Houston, Walter M. – 1988
Two methods of using collateral information from similar institutions to predict college freshman grade average were investigated. One central prediction model, referred to as pooled least squares with adjusted intercepts, assumes that slopes and residual variances are homogeneous across selected colleges. The second model, referred to as Bayesian…
Descriptors: Bayesian Statistics, College Freshmen, Colleges, Comparative Analysis
Crawford, Paul L.; And Others – 1986
"Postdictions" of college grade point averages (GPAs) from high school GPAs and/or American College Testing Program (ACT) composite scores were compared by gender and race for 1,121 freshmen and sophomore students at a West Virginia College. The sample included 945 white and 176 black students, and 553 males and 568 females. Significant…
Descriptors: College Entrance Examinations, College Freshmen, College Sophomores, Comparative Analysis
Van Nelson, C.; Neff, Kathryn J. – 1990
Data from two studies in which subjects were classified as successful or unsuccessful were analyzed using neural net technology after being analyzed with a linear regression function. Data were obtained from admission records of 201 students admitted to undergraduate and 285 students admitted to graduate programs. Data included grade point…
Descriptors: Admission Criteria, Artificial Intelligence, Class Rank, College Entrance Examinations
Lunneborg, Clifford E. – 1976
A new technique has been developed for admitting new freshman students at the University of Washington. Previously, an Admissions Index (AI) was used, in which the high school grade point average (HSGPA) was assigned twice the weight of the composite verbal and quantitative scores from the Washington Pre-College Test Battery (WPC). To offset the…
Descriptors: Admission Criteria, Aptitude Tests, College Admission, College Bound Students
Noble, Julie P.; Sawyer, Richard – 1988
The validity of American College Testing Program (ACT) test scores and self-reported high school grades for predicting grades in specific college freshman courses was studied. Specific course grades are typically used to place students in remedial, standard, or advanced classes. These placement decisions, in turn, have immediate implications for…
Descriptors: Bayesian Statistics, College Freshmen, Comparative Analysis, Evaluation Methods
