In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…

This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…

Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…

The principal objective of this five-year longitudinal study was to determine the efficacy of employing the Omnibus Personality Inventory (OPI) and the American College Testing (ACT) program scores in designing a predictive model for identifying entering community college freshmen students' propensity to fall into one of three categories:…

The usefulness of equations to predict graduation from college was studied using data from the 1974 freshman class of a major research university. The following predictor variables were assessed using multiple regression and discriminant analyses: sex, race, residency, major, high school rank, high school size, Scholastic Aptitide Test scores, and…