Prediction of Human Relations Training Outcome by Traditional and Nontraditional Selection Indices

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Abstract
A variety of traditional and nontraditional selection indices were used to predict the outcome of a graduate‐level course in counseling which was specifically designed to improve the students' human relations skills. Multiple correlations of .75 to .80 were found between a measure of training outcome and various combinations of predictors. A series of multiple linear regression analyses indicated that the traditional selection indices (GPA, GRE‐Verbal, GRE‐Quantitative, Miller Analogies Test) accounted for a very minor amount of the variance in ratings of the final taped interview. In contrast, a newly developed selection measure (trainability index) accounted for almost all of the predictable variance. The need for a new and more efficient predictive model for graduate‐level counselor training is discussed.
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