This study assessed the feasibility of using precollege success indicators to identify at-risk students at a large 4-year public research university in the Midwest. Retention data from students who participated in an established student success program were examined. The findings affirm that the initial admissions assessment identifying at-risk…

Farrington and colleagues developed a model that contends that academic mindsets, academic perseverance, learning strategies, social skills, and academic behaviors affect academic success. This study tests a modified version of this model with first-year students (n = 1,603) at a large, ethnically diverse, urban university. The hypothesized…

In this study, we analyzed the Successful/Unsuccessful Grading (SUG) program, an intervention that was founded at a large public university to support students during their transition into the first year of undergraduate engineering (EG) coursework. To understand how the SUG program impacts student retention of EG majors, we conducted an analysis…

The present study used a validated survey to assess freshmen college students' sleep patterns and risk for sleep disorders and then examined associations with retention and grade point average (GPA) over a 3-year period. Students at risk for a sleep disorder were more likely to leave the institution over the 3-year period, although this…

This goal of this study was to examine the benefits of a campus-wide initiative to build first-year students' strengths awareness. The results of a survey of the first-year class (n?=?1,421) suggest a positive and significant relationship between students' strengths awareness and their belief that the strengths initiatives on campus positively…

This paper considers the functions of supportive individuals in the lives of community college and 4-year college students and how such support can promote hope, defined as agency and pathways thinking. We surveyed 181 college students regarding their supportive relationships and found that parents were most likely to be nominated as a primary…

Theoretical models designed to predict whether students will persist or not have been valuable tools for retention efforts relative to the creation of services in academic and student affairs. Some of the early models attempted to explain and measure factors in the "college dropout process." For example, in his seminal work, Tinto…

The study used earliest available student data from a flagship university in the southeast United States to build data mining models like logistic regression with different variable selection methods, decision trees, and neural networks to explore important student characteristics associated with retention leading to graduation. The decision tree…

Today, as many as 25 to 40 percent of students who attend college qualify for some form of remedial education program provided by postsecondary institutions (Kaye, Lord, Bottoms, Presson, & Cornet, 2006). Many colleges and universities view the inclusion of remediation as an integral part of their educational mission. However, the costs of…

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…

Recently, it has been suggested that constructs from different disciplines should be incorporated into Tinto's (1993) sociological model of the determinants of departure from college (Ackerman & Schibrowsky, 2007). We tested the hypothesis that variables derived from Rusbult's (1983) social-psychological investment theory contribute, above and…

This study explored the outcome of academically dismissed students reinstated the semester following academic dismissal at a medium-size Midwestern University. Logistic regression was utilized to identify predictors that may assist academic administrators in making decisions regarding future reinstatement activities. The overall model correctly…

Survival analysis is a statistical tool used to describe the duration between events. Many processes in medical research, engineering, and economics can be described using survival analysis techniques. This research involves studying engineering college student graduation using Cox proportional hazards models. Among male students with American…

The model presented used available data to predict whether or not a student will drop out at some time during his or her college career. The model successfully identified students who would or would not drop out approximately 80% of the time. Logistic regression analysis was employed to predict chances of attrition for matriculating freshmen soon…