Students are most likely to leave science, technology, engineering, and mathematics (STEM) majors during their first year of college. We developed an analytic approach using random forests to identify at-risk students. This method is deployable midway through the first semester and accounts for academic preparation, early engagement in university…

This study examined graduation and persistence among social and behavioral science students at a regional comprehensive university. Hazard analyses identified predictors of student trajectories, times at which predictors were more or less impactful, and interactions between predictors such that particular risk factors were more detrimental for…

Youth who were in foster care as adolescents make up a small but highly vulnerable subpopulation of the college student body. This article analyzes secondary data collected from one of the most comprehensive longitudinal studies of foster youth. The analytic sample includes 329 foster youth from three Midwestern states who attended college in the…

Performance during the first year of college and in introductory courses has been widely identified as critical to college students' retention and success. Accordingly, interventions to assist beginning college students in gateway courses have gained increased attention in higher education. This study tested such an intervention using learning…

A plethora of research spanning several decades has attempted to understand predictors of retention and graduation in undergraduate bachelor's degree programs. The topic is no less important today, as larger and larger swaths of the American population attend college each year. Studies have demonstrated that key demographic variables, indicators…

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…

Violence against university students has significant impact on their mental health. The impact of violence on students' academic performance has received little attention. The primary purpose of this study is to examine the impact of sexual and physical/verbal violence on the academic performance of college students. Data from 74 case files of…

The present research examined the extent to which pre-college characteristics, high school experiences, college expectations, and initial enrollment characteristics were related to graduation from college. Data from admission applications, the "ACT Compass" survey, and initial enrollment measures for Fall 2004 and Fall 2005 first-time…

Along with the massification of higher education and increasing costs, the pressure on institutions to retain all students to degree completion has been mounting. Early identification of students who are at risk of leaving an institution may help institutions to target and retain these students. This study investigated whether freshmen behaviors,…

Affecting university rankings, school reputation, and financial well-being, student retention has become one of the most important measures of success for higher education institutions. From the institutional perspective, improving student retention starts with a thorough understanding of the causes behind the attrition. Such an understanding is…

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…

Logistic regression models of students' 1-year retention and 6-year retention/graduation for the fall 2000 entering class of students at a research-extensive university in the Midwest were estimated by combining university, financial aid, and Cooperative Institutional Research Program data (n = 1,905; 45% female, 87% Caucasian, 75% in-state).…