In this study, we identified factors influencing completion rates (graduation) of undergraduate students in science, technology, engineering, and mathematics (STEM). We used hierarchical, logistic, and linear regression models to analyze the data and found significant predictor variable interactions across various underrepresented versus…

Given the major investment in the Gaining Early Awareness and Readiness for Undergraduate Programs (GEAR UP) grant, rising postsecondary access, trends in poor persistence and retention rates, and the ongoing accountability measures in higher education, it is critical to examine factors related to postsecondary performance and persistence of GEAR…

Retention research rarely differentiates between students dismissed from an institution for poor academic performance versus students leaving by choice. As a proxy for studying academic dismissal, this study investigated differences between students leaving college in academic jeopardy after the first year (<2.00 grade point average) and those…

Throughout the college retention literature, there is a recurring theme that students leave college for a variety of reasons making retention a difficult phenomenon to model. In the current study, cluster analysis techniques were employed to investigate whether multiple empirically based profiles of nonreturning students existed to more fully…