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Direct linkWitteveen, Dirk; Attewell, Paul – Research in Higher Education, 2017
Higher education in America is characterized by widespread access to college but low rates of completion, especially among undergraduates at less selective institutions. We analyze longitudinal transcript data to examine processes leading to graduation, using Hidden Markov modeling. We identify several latent states that are associated with…
Descriptors: Markov Processes, Higher Education, Longitudinal Studies, Statistical Analysis
Eckles, James E. – Research in Higher Education, 2010
This study applies a data envelopment analysis model developed for national universities to 93 national liberal arts colleges. Such models can be used by individual institutions for benchmarking purposes or by researchers seeking to compare the practices of highly efficient liberal arts colleges with the practices of relatively inefficient…
Descriptors: Graduation Rate, Liberal Arts, Reputation, Institutional Characteristics
Cragg, Kristina M. – Research in Higher Education, 2009
The purpose of this study is to identify student and institutional characteristics that influence the probability for graduation. The study delves further into the probability for graduation by examining how far the student deviates from the institutional mean with respect to academics and affordability; this concept is referred to as the "match."…
Descriptors: Graduation, Institutional Characteristics, Multivariate Analysis, Probability
Peer reviewedCook, Marlene M.; Swanson, Austin – Research in Higher Education, 1978
Focus is on two areas: (1) the factors available to the selection committee when students apply for admission into graduate programs, and (2) those factors emerging after admission, resulting from students' meeting program-imposed requirements for graduation. Program variables are shown to be more important than admission variables. (Author/LBH)
Descriptors: Admission Criteria, Doctoral Programs, Factor Analysis, Graduate Students
Goenner, Cullen F.; Snaith, Sean M. – Research in Higher Education, 2004
Empirical analysis requires researchers to choose which variables to use as controls in their models. Theory should dictate this choice, yet often in social science there are several theories that may suggest the inclusion or exclusion of certain variables as controls. The result of this is that researchers may use different variables in their…
Descriptors: Models, Prediction, Graduation Rate, Universities
Bailey, Thomas; Calcagno, Juan Carlos; Jenkins, Davis; Leinbach, Timothy; Kienzl, Gregory – Research in Higher Education, 2006
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…
Descriptors: Institutional Characteristics, Graduation Rate, Community Colleges, Comparative Analysis
