CHOICE OF VARIABLES AND GENDER DIFFERENTIATED PREDICTION WITHIN SELECTED ACADEMIC PROGRAMS

The existence of differential prediction of 2-year grade point average is reported for gender groups within programs of study at a large state university. Johnson-Neyman analyses indicate regions on the predictor score scales where differential prediction has practical impact within each program. A significant portion of students is generally affected. It is shown that careful selection of a subset of variables reduces differential prediction while maintaining predictive potency.