The American Journal of Distance Education: "Predicting Retention in Online General Education Courses
Libby V. Morris and Sz-Shyan Wu
Institute of Higher Education
University of Georgia
Catherine L. Finnegan
Advanced Learning Technologies
Board of Regents of the University System of Georgia
A classification rule was developed to predict undergraduate students' withdrawal from or completion of fully online general education courses. A multivariate technique, predictive discriminant analysis (PDA), was used. High school grade point average and SAT mathematics score were shown to be related to retention in the online university courses. Locus of control and financial aid were able to identify dropout and completion with 74.5% accuracy."
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