A statistical model is presented for processing quantitative admission data that weights equally two or more quantitative elements to ensure that the N most consistently high scorers qualify for the N available positions. The quantitative elements considered are overall grade point average (GPA), GPA in selected courses, and standardized test…

Possible bias in admissions decisions on the basis of sex is analyzed. The methods of testing for bias and the results thereof for graduate academic programs at the University of California, Davis, are reported. Differences in the quality distribution, based on grade point average, between male and female applicants are incorporated. (MLW)

In an investigation of trends in grade inflation, the grade point averages and Medical College Admission Tests scores for medical school applicants in all undergraduate colleges with at least five such applicants were compared over four years. (MSE)

Data from graduate student applications at a large Western university were used to determine which factors were the best predictors of success in graduate school, as defined by cumulative graduate grade point average. Two statistical models were employed and compared: artificial neural networking and simultaneous multiple regression. Both models…