In most multi-campus studies of college impact that have been conducted over the past four decades, investigators have relied on ordinary least squares (OLS) regression as the analytic method of choice. Recently, however, some investigators have advocated the use of Hierarchical Linear Modeling (HLM), a method specifically designed for analyses…

This study explored how logit, probit, and more traditional linear regression techniques compare in predicting college student retention, using data provided by registrars from a national sample of colleges and universities. Results showed little practical difference among the techniques, despite theoretical advantages offered by the first two.…