Predicting student enrollment and persistence in college STEM fields using an expanded P-E fit framework: a large-scale multilevel study.

Using an expanded person-environment fit (P-E fit) model, we conducted 2 studies to test the combined effects of 2 individual difference factors, ability-demand fit and interest-vocation fit, in predicting college student choice of and persistence in the science, technology, engineering, and mathematics (STEM) fields. Analysis results based on data from 207,093 students entering 51 postsecondary institutions supported the hypothesized roles that academic ability and interest fit play in determining STEM field choice and persistence. Ability was found to moderate the effects of interest fit on the behavioral outcomes, thus expanding the P-E fit framework.

Too much of a good thing: curvilinear relationships between personality traits and job performance.

The relationships between personality traits and performance are often assumed to be linear. This assumption has been challenged conceptually and empirically, but results to date have been inconclusive. In the current study, we took a theory-driven approach in systematically addressing this issue.