Community college near-completion students are community college starters who have accumulated a considerable number of credits but left college without any postsecondary educational credential. This quantitative study examined a nationally representative sample and intended to reveal significant predictors of becoming a community college…

In this paper we study the factors that influence both dropout and (4-year) degree completion throughout university by applying the set of discrete-time methods for competing risks in event history analysis, as described in Scott and Kennedy (2005). In the French-speaking Belgian community, participation rates are very high given that higher…

Doctoral programs have high dropout rates of 43% representing the highest among all post-baccalaureate programs. Cross sectional studies of doctoral students' retention have showed the importance of financial aid in predicting degree completion. These studies however, do not estimate the labor market's effect on doctoral student retention and…

This study used Tobit analysis to estimate retention probabilities and credit hours at two universities. Tobit was judged as appropriate for this problem because it recognizes the lower bound of zero on credit hours and incorporates this bound into parameter estimates and forecasts. Models are estimated for credit hours in a single year and…

A study investigated pre-enrollment variables as predictors of 1-year retention of 1,140 first-time students at a community college. Risk of dropping out was associated with lower high school grade point average, 20-24 year age range, part-time attendance, and being a member of an ethnic minority other than Asian. (Author/MSE)

Path analysis was used to explore the relationships among a number of variables related to student persistence. The subjects were freshmen in the College of Liberal Arts, University of Minnesota. Variables that showed the largest total effects on persistence were college grade-point average and high school rank. (Author/MLW)