title: The use of background and ability profiles to predict college student outcomes.
abstract: To determine whether profiles of predictor variables provide incremental prediction of college student outcomes, the authors 1st applied an empirical clustering method to profiles based on the scores of 2,771 entering college students on a battery of biographical data and situational judgment measures, along with SAT and American College Test scores and high school grade point average, which resulted in 5 student groups. Performance of the students in these clusters was meaningfully different on a set of external variables, including college grade point average, self-rated performance, class absenteeism, organizational citizenship behavior, intent to quit their university, and satisfaction with college. The 14 variables in the profile were all significantly correlated with 1 or more of the outcome measures; however, nonlinear prediction of these outcomes on the basis of cluster membership did not add incrementally to a linear-regression-based combination of these 14 variables as predictors.
authors.affiliation: Department of Psychology, Michigan State University, East Lansing, MI 48824-1116, USA. schmitt@msu.edu
authors.forename: Neal
authors.initials: N
authors.lastname: Schmitt
authors.forename: Frederick L
authors.initials: FL
authors.lastname: Oswald
authors.forename: Brian H
authors.initials: BH
authors.lastname: Kim
authors.forename: Anna
authors.initials: A
authors.lastname: Imus
authors.forename: Stephanie
authors.initials: S
authors.lastname: Merritt
authors.forename: Alyssa
authors.initials: A
authors.lastname: Friede
authors.forename: Smriti
authors.initials: S
authors.lastname: Shivpuri
mesh_terms: D000124:Achievement; D000293:Adolescent; D000328:Adult; D001076:Aptitude; D001680:Biographies as Topic; D006801:Humans; D007600:Judgment; D013334:Students; D014495:Universities