Interpretation of emergent variables on the basis of structure coefficients (zero order correlations between original and emergent variables) is potentially very misleading and should be avoided in favor of interpretation on the basis of scoring coefficients. This is most apparent in multiple regression analysis and its special case, two-group…

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…

The usefulness of equations to predict graduation from college was studied using data from the 1974 freshman class of a major research university. The following predictor variables were assessed using multiple regression and discriminant analyses: sex, race, residency, major, high school rank, high school size, Scholastic Aptitide Test scores, and…

The relatively large number of students who perform poorly in freshman chemistry courses signals the need for the identification of criteria that will result in correct placement decisions for incoming college students. Research findings have generally reported placement criteria that correlate significantly with performance in college chemistry…