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Peer reviewedGlynn, Joseph G.; Sauer, Paul L.; Miller, Thomas E. – NASPA Journal, 2003
Logistic regression is employed to develop a model that enhances early identification of freshmen at risk of attrition. Independent variables employed to predict attrition include demographics; high school experiences; and attitudes, opinions, and values as reported on a survey administered during freshman orientation. Model and results are…
Descriptors: Academic Persistence, College Freshmen, Dropout Research, Early Identification
