Study Title: Predicting Retention in Online General Education Courses
Study Abstract:
Researchers developed a classification rule to predict undergraduate students' withdrawal from, or completion of, fully online general education courses using a multivariate technique, predictive discriminant analysis (PDA). 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.
Journal Article:
- Morris, L., Wu, S., and Finnegan, C. 2005. Predicting Retention in Online General Education Courses. The American Journal of Distance Education (vol. 19, no. 1) March 2005.
Available at:
- American Journal of Distance Education http://www.ajde.com/Abstracts/abs19_1b.htm