Predicting Retention In Online General Education Courses

  • Morris L
  • Wu S
  • Finnegan C
  • 77


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


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.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document


  • L.V. Morris

  • S.S. Wu

  • C.L. Finnegan

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free