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Anderson, Darcie L.; Hooks, Tisha – Journal of College Student Retention: Research, Theory & Practice, 2022
With limited budgets and increasing enrollment demands, colleges need fast, free, and practical solutions supporting academic success and retention. The Academic Reality Check (ARC) tool helps to predict traditional freshmen awareness of their own academic expectations in college quickly, supporting the financial investment being made by all…
Descriptors: College Freshmen, Expectation, Predictor Variables, Academic Achievement
Barbera, Salvatore A.; Berkshire, Steven David; Boronat, Consuelo B.; Kennedy, Michael H. – Journal of College Student Retention: Research, Theory & Practice, 2020
A plethora of research spanning several decades has attempted to understand predictors of retention and graduation in undergraduate bachelor's degree programs. The topic is no less important today, as larger and larger swaths of the American population attend college each year. Studies have demonstrated that key demographic variables, indicators…
Descriptors: Undergraduate Students, Academic Persistence, Bachelors Degrees, Readiness
Morrison, Michael C. – Journal of College Student Retention: Research, Theory & Practice, 2013
Graduation outcomes are analyzed at public and private baccalaureate colleges and universities in the United States. The purpose is to determine the effect of institutional characteristics on a binary indicator of college graduation. The effect of the percentage of Pell grant recipients on graduation outcomes is of primary interest, controlling…
Descriptors: Grants, Private Colleges, Institutional Characteristics, Universities
Glynn, Joseph G.; Sauer, Paul L.; Miller, Thomas E. – Journal of College Student Retention: Research, Theory & Practice, 2006
The model presented used available data to predict whether or not a student will drop out at some time during his or her college career. The model successfully identified students who would or would not drop out approximately 80% of the time. Logistic regression analysis was employed to predict chances of attrition for matriculating freshmen soon…
Descriptors: Student Attrition, Models, Dropouts, Probability