Skip to main content

Factors associated with one-year retention in a community college


This study sought to evaluate preenrollment variables as predictors of one-year retention of first-time students in a community college. The purpose was to use information that is typically available when a student begins his or her college program and determine if this information can help identify students who are more likely to drop out within their first year. Based on a logistic regression model to select predictors of retention, the lower the high school GPA, the greater the chance the student will drop out. Over and above this, additional risk is associated with the age range 20–24, attending part-time, and being an ethnic minority other than Asian. When all or some of these are operating, it may be necessary to enhance these students' chances with special programs or services.

This is a preview of subscription content, access via your institution.


  • Brooks-Leonard, C. (1991). Demographic and academic factors associated with first-to-second-term retention in a two-year college.Community/Junior College 15: 57–69.

    Google Scholar 

  • Daniels, G. (1990). Student intention and retention in a community college setting. Paper presented at the North East Association for Institutional Research, Albany, NY, October 21–23.

  • Fischbach, R. (1990).Persistence Among Full-Time Students at Illinois Central College. ERIC Document Reproduction Service No. ED 325 190.

  • Grosset, J. (1989).A Conceptual Framework for Describing the Causes of Student Attrition. ERIC Document Reproduction Service No. ED 310 819.

  • Voorhees, R. A. (1987). Toward building models of community college persistence: A logit analysis.Research in Higher Education 26(2): 115–129.

    Google Scholar 

Download references

Author information

Authors and Affiliations


Rights and permissions

Reprints and Permissions

About this article

Cite this article

Feldman, M.J. Factors associated with one-year retention in a community college. Res High Educ 34, 503–512 (1993).

Download citation

  • Issue Date:

  • DOI:


  • Logistic Regression
  • Regression Model
  • High School
  • Logistic Regression Model
  • Ethnic Minority