The incremental validity of the analytical measure of the revised Graduate Record Examination (GRE) General Test, for predicting first-year graduate grade-point average (GPA), was assessed using data submitted to the GRE Validity Study Service between March 1983 and November 1984. All selected students had data for the three General Test measures…

Compares classical multiple regression with Bayesian m-group regression, including cross-validation of both methods, in a study to predict first-quarter grade point average in various curricula for community colleges students who had completed developmental studies programs. Finds informal counselor prediction the largest contribution to…

A Bayesian prediction strategy is outlined in which antecedent measures are divided into two subgroups. One subgroup is used to discriminate among criterion groups, the second to provide normal linear predictions for each group. Individualized regression constants are subsequently obtained by computing probabilities of group membership from the…

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…

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…