Predicting Retention in Online General Education Courses

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Abstract

Abstract 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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Morris et al. (Tue,) studied this question.

synapsesocial.com/papers/6a1047b4d91177df95fc9922 https://doi.org/https://doi.org/10.1207/s15389286ajde1901_3

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Journals

American Journal of Distance Education

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