Personality differentiation and prediction of persistence in physical science and engineering

Abstract

Discriminant analyses techniques were applied to freshmen California Psychological Inventory (CPI) and Holland Vocational Interest Inventory (VPI) data for 914 male students and were used to predict curricular membership after two years of university education. The results suggest that those who persist in physical science, engineering or other curriculum are significantly discriminable from one another on the basis of freshman personality data, and that these personality variables show reasonable predictive stability when applied to a cross validation sample. Physical scientists appear to be markedly differentiated from engineers or others along an introspection-intellectual versus social conventional dimension. The predictive power of CPI and VPI personality variables while statistically exceeding chance is considerably less than that previously reported for ability or interest measures.