This article will address predictors of success for online students. A survey questionnaire was used to gather data concerning online students' social and educational readiness levels at a four-year private university in the Midwestern United States. Of the 4,050 potential participants, 250 (6.23%) responded to the survey. Stepwise regression…

The purpose of this ex post facto correlational study was to determine if the Test of Essential Academic Skills (TEAS) examination successfully identified nursing students capable of completing a nursing program. The study was based on correlational analysis that established the relationship between the TEAS V score, completion of the program, and…

The purpose of this mixed-methods research study was to determine the impact of mandatory developmental academic advising on the persistence, successful course completion, and grade point average of pre-nursing students at a large-sized urban community college within the North Carolina Community College System. With data obtained through student…

This article describes the strategies employed to make a university-wide commitment to student success, persistence, and graduation rates. The shift in culture has made student success everybody's business, and there has been a high level of buy-in to the enterprise. The predictive tools that have been developed have given focus to serving those…

The purpose of this study is to evaluate the implementation and impacts of the Building Assets, Reducing Risks (BARR) model in its first year of implementation in 66 schools across the U.S. and to document scale-up progress during the Investing in Innovation (i3) grant period (2017-2021). The impact evaluation included 21,529 9th grade students…

The purpose of this study was to use a comprehensive framework to examine academic, psychosocial, noncognitive, and other background factors that are related to retention at a large, public four-year institution in the southeastern United States. Specifically, the study examined what factors are most important in predicting first-to-second year…

During the last decade, there have been numerous reports detailing the importance of increasing science, technology, engineering, and math (STEM) majors in the United States. Simultaneously, an increasing number of studies are being developed to predict a student's success and completion of a STEM degree, recognizing that retention is a…

In the context of university higher education at undergraduate level, the model of student-institution integration, proposed by Tinto & Cullen and later refined in some of its parts, has often been used to explain the process of dropout/persevere, and even to anticipate such events. This paper approaches the evolution of the Tinto's model…

College attendance is a risky investment. But students may not recognize when they are at risk for failure, and financial aid introduces the possibility for moral hazard. Academic performance standards can serve three roles in this context: signaling expectations for success, providing incentives for increased student effort, and limiting…

Higher education institutions are often concerned about retention rates, particularly among underprepared students. This study examines the effects of Counselors providing Resources, Integration, Skill Development, and Psychosocial Support (CRISP), which is a low-cost counseling model focused on increasing the academic success and retention of…

This study addresses gaps in the theoretical and policy literature by examining the relationship between associate degree program credit requirements and four student outcomes: associate degree attainment, time to degree, final associate degree grade point average, and persistence. Using student unit record data, a longitudinal quantitative study…

This study explores the role of community service learning (CSL) in promoting undergraduate persistence relative to other experiences students have in college, their entering characteristics, and institutional features. By following the 2009 freshmen cohort at three Midwestern universities over three years, this study finds that students'…

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…

Improving student success and degree completion is one of the core principles of strategic enrollment management. To address this principle, institutional data were used to develop a statistical model to identify academically at-risk students. The model employs multiple linear regression techniques to predict students at risk of earning below a…

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…