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Direct linkMiller, Thomas E.; Herreid, Charlene H. – College and University, 2009
This is the fifth in a series of articles describing an attrition prediction and intervention project at the University of South Florida (USF) in Tampa. The project was originally presented in the 83(2) issue (Miller 2007). The statistical model for predicting attrition was described in the 83(3) issue (Miller and Herreid 2008). The methods and…
Descriptors: Regression (Statistics), College Students, Higher Education, Student Attrition
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
