A recent decline in the ability to predict first-year grade point average using the traditional regression analyses incorporating Scholastic Aptitude Tests (SAT) and high school rank as predictors fostered an investigation of the effectiveness of alternative procedures to predict academic success. Four procedures were investigated and compared, using multiple regression analyses, multiple discriminant analyses, and quadratic analyses. Of the procedures for improving predictive validity of SAT and high school rank, the quadratic equation appeared to be most effective. Four recommendations were made to the public, southern university from which the data were obtained: (1) the 1978 quadratic equation should be used as the official admissions criterion for predicting grade point average; (2) the predicted grade point average for admission, using this method, should be raised from 1.7 to 1.8; (3) the admissions policy should be modified to accept those students who have the minimum grade point average, have a minimum SAT total of 750 and converted high school rank of 50; and (4) more effective procedures for monitoring course and university withdrawal be used. A bibliography and data tables are appended. (MSE)