Despite the overwhelming evidence that higher education data are nested at various levels, single-level techniques such as regression and analysis of variance are commonly used to investigate student outcomes. This is problematic as a mismatch in methodology and research questions can lead to biased parameter estimates. The purpose of this study…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

Improving graduation rates is one of the biggest missions in many universities across the country and it is surely the case on the campus of this institution. The work here presents a statistical tool box to use early academic performance as a predictor for graduation with logistic regression and machine learning techniques. The methods described…

College graduation rates in the United States are low in both real and relative terms. This has left all stakeholders looking for novel solutions while perhaps ignoring extant but underused programs. This article examines the effect of "summer bridge" programs, which have students enroll in coursework prior to beginning their first full…

Graduation outcomes are analyzed at public and private baccalaureate colleges and universities in the United States. The purpose is to determine the effect of institutional characteristics on a binary indicator of college graduation. The effect of the percentage of Pell grant recipients on graduation outcomes is of primary interest, controlling…

This study investigates the impact that different financial aid packages have on student stopout, reenrollment, and graduation probabilities. The authors simulate how various financial aid packaging regimes affect the occurrence and timing of these events. Their findings indicate that the number and duration of enrollment and stopout spells affect…

While "ability" has long featured prominently in economic models and empirical studies of labor markets, economists have only recently begun to consider how personality and attitudes--noncognitive factors--influence behavior both from a theoretical and empirical standpoint. This dissertation incorporates noncognitive factors into…

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."…

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)

This article shows how the methods of survival analysis (also known as event history analysis) lend themselves to the study of the timing of educational events. Using examples from teacher attrition and student dropout research, survival methods are introduced for building statistical models of the risk of event occurrence over time. (Author/SLD)

This paper presents findings from a study of the experiences and outcomes of older and younger community college students. We developed a discrete-time hazard model using longitudinal transcript data on a cohort of first-time community college students in Florida to compare the impact of enrollment pathways (such as remediation) and enrollment…