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Predicting Higher Education Outcomes and Implications for a Postsecondary Institution Ratings System
Walker, Eddie G., II – Journal of Higher Education Policy and Management, 2016
The accountability of colleges and universities is a high priority for those making policy decisions. The purpose of this study was to determine institutional characteristics predicting retention rates, graduation rates and transfer-out rates using publicly available data from the US Department of Education. Using regression analysis, it was…
Descriptors: Higher Education, Predictive Measurement, Predictive Validity, Prediction
Lin, Jien-Jou – ProQuest LLC, 2013
Every year a group of graduates from high schools enter the engineering programs across this country with remarkable academic record. However, as reported in numerous studies, the number of students switching out of engineering majors continues to be an important issue. Previous studies have suggested various factors as predictors for student…
Descriptors: Success, Prediction, Predictive Measurement, Predictive Validity
Eshghi, Abdoloreza; Haughton, Dominique; Li, Mingfei; Senne, Linda; Skaletsky, Maria; Woolford, Sam – Journal of Institutional Research, 2011
The increasing competition for graduate students among business schools has resulted in a greater emphasis on graduate business student retention. In an effort to address this issue, the current article uses survival analysis, decision trees and TreeNet® to identify factors that can be used to identify students who are at risk of dropping out of a…
Descriptors: Enrollment Management, Graduate Students, Business Administration Education, Prediction
Roblyer, M. D.; Davis, Lloyd – Online Journal of Distance Learning Administration, 2008
Virtual schooling has the potential to offer K-12 students increased access to educational opportunities not available locally, but comparatively high dropout rates continue to be a problem, especially for the underserved students most in need of these opportunities. Creating and using prediction models to identify at-risk virtual learners, long a…
Descriptors: Prediction, Predictor Variables, Success, Virtual Classrooms
Kaase, Kristopher J. – 1994
This study tested the ability of the Student Adaptation to College Questionnaire (SACQ) to predict attrition for first-time, full-time freshmen at a predominantly white, medium-sized, liberal arts, denominational college in the southeast. A random sample of 100 students were surveyed of which 84 returned usable questionnaires (57 females, 27 male,…
Descriptors: Academic Persistence, College Freshmen, College Students, Higher Education

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