Predicting Success: Examining the Predictive Validity of a Measure of Motivational-Developmental Dimensions in College Admissions

• In Event: College Access, Financial Aid, and Student Success

Abstract

The proliferation of test-optional admissions policies requires the use of criteria and methodologies with concern for the fair and equitable distribution of educational opportunities and the criticism of standardized admissions tests as unreliable predictors of applicants’ postsecondary educational promise have prompted the reimagining of evaluative methodologies in college admissions. We use hierarchical logistic and linear regression to investigate the predictive validity of a measure of non-cognitive, motivational-developmental dimensions implemented as part of a test-optional admissions policy at a large urban research university in the United States. Findings suggest that the measure is valid for use across student subgroups, and makes a statistically significant but nominal contribution to the prediction of undergraduate GPA and four-year bachelor’s degree completion.

Authors

• Joseph Howard Paris, Temple University

• Catherine Pressimone Beckowski, Temple University

• Sara Fiorot, Temple University