Stakeholders at institutions across the United States are continuously looking for ways to improve the academic success and retention of students. We used logistical regression in an examination of noncognitive, cognitive, and demographic factors as predictors of academic success and retention of Division I first-year student-athletes. The results…

Students change their majors for various reasons, and academic advisors often assume the role of facilitating that change through institutional agreements or contracts. Therefore, advisors need to identify time periods during enrollment with the greatest likelihood that students will seek to change majors. They must also examine the student…

For this quantitative study, we used a multiple logistic regression technique to investigate the relationship between the number of meetings with an academic advisor and retention of first-generation students, as represented by enrollment status and academic standing at a large, public research institution in the Southeast. Consistent with…

We introduce 5 cognitive and 3 affective outcome measures related to student judgments and attitudes that might result from quality advising encounters. The outcomes have been linked to, or can be conceptualized as predictive of, retention. We examined these outcomes in an online survey of 22,305 students from 2 community colleges and 7…

In an effort to standardize academic risk assessment, the NCAA developed the graduation risk overview (GRO) model. Although this model was designed to assess graduation risk, its ability to predict grade-point average (GPA) remained unknown. Therefore, 134 individual risk assessments were made to determine GRO model effectiveness in the…

In this study, we examined patterns of persisting in and switching from an intended college major (chosen in high school) in the third year of college. We focused on science, technology, engineering, and math (STEM) major persistence because of the national effort to increase those entering STEM careers. Results showed differences in persistence…

A study (n=510) investigated students' cognitive and noncognitive variables predicting success and persistence in an undergraduate engineering program. Students performing well in science and mathematics and genuinely interested in engineering were more likely to persist and succeed. Predictor variables changed over the students' first two years.…

Research proposals funded by the National Academic Advising Association are summarized. Topics include adult student retention factors, high-risk students' learning processes, undergraduate engineering performance predictors, traditional and computerized advising in research universities, re-entry women, advisor training through case studies,…