The goal of this study is to determine the institutional characteristics that affect the success of community college students as measured by the individual student probability of completing a certificate or degree or transferring to a baccalaureate institution. While there is extensive research on the institutional determinants of educational outcomes for K-12 education and a growing literature on this topic for baccalaureate institutions, few researchers have attempted to address the issue for community colleges. Using individual level data from the National Education Longitudinal Study of 1988 (NELS:88) and institutional level data from the Integrated Postsecondary Education Data System (IPEDS), we address two methodological challenges associated with research on community college students: unobserved institutional effects and attendance at multiple institutions. The most consistent results across specifications are the negative relationship between individual success and larger institutional size, and the proportion of part-time faculty and minority students.

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Over the last decade, policymakers, educators, and researchers have increasingly sought to understand community college policies and practices that promote students' success. This effort has been partly driven by an increased emphasis on outcome accountability, but it has also promoted a productive discussion about improving institutional performance. The research reported here has two related goals. One goal is to work towards strengthening the ability to assess and compare institutional performance. We thus have developed a model that can be used to adjust simple graduation rates for institutional characteristics, such as student composition, college resources, size, and location, all of which might influence those rates. Our long-term goal is to understand how to improve student outcomes, so the paper also uses the model to measure the effect of those institutional characteristics on graduation rates. We use data from the Integrated Postsecondary Education Data System (IPEDS) surveys, applying a weighted least-squares procedure for grouped data to estimate an institutional-completion rates model. This analysis confirms several hypotheses about institutional determinants of graduation rates at community colleges. Our results indicate a consistent negative relationship between enrollment size and completion. Additionally, colleges with high shares of minority students, part-time students, and women have lower graduation rates. A final significant finding among institutional characteristics is that greater instructional expenditures are related to a greater likelihood of graduation. The method developed here can be used to better assess the performance of community colleges.

In this chapter, we describe efforts by growing number of colleges and universities to redesign academic programs and support services to create “guided pathways” designed to increase the rate at which students enter and complete a program of study.

Research has consistently shown that older students—those who enter college for the first time at age 25 or older—are less likely to complete a degree or certificate. The authors estimate a single-risk discrete-time hazard model using transcript data on a cohort of first-time community college students in Florida to compare the educational outcomes of older and traditional-age students. Contrary to conventional wisdom, the authors’ results suggest that after controlling for cognitive mathematics ability, older students enrolled in Florida community colleges have a higher conditional probability of completing a degree or certificate in the observed event period.