This study determines the efficiency of a system containing aptitude, achievement, and noncognitive data, and a measure of college performance in predicting the long-range educational-vocational decisions of engineering students. Noncognitive data best predicts between intellectually homogeneous student groupings whereas first-semester grade point average dominates the predictor set relevant to more intellectually heterogeneous groupings. (Author/LA)