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Download full textJorgensen, Mary; Budd, Jillian; Fichten, Catherine S.; Nguyen, Mai N.; Havel, Alice – International Journal of Higher Education, 2018
This study's goal was to compare aspects related to academic persistence of two groups of college students with non-visible disabilities: 110 Canadian two and four-year college students--55 with mental health related disabilities and 55 with Specific Learning Disorder (LD). Results show that students with mental health related disabilities were…
Descriptors: College Students, Learning Disabilities, Academic Persistence, Mental Health
Direct linkEickhoff, Mary Ann – ProQuest LLC, 2016
There is currently a nursing shortage in the United States. By 2022, the Bureau of Labor Statistics (BLS) expects, the number of job openings for Practical Nurses (PN) will be 168,500, an increase of 25% over 2012 (BLS, 2014). Nursing education does not currently meet present, much less future needs. Nursing programs have limited space; according…
Descriptors: Nursing Students, Predictor Variables, Success, Licensing Examinations (Professions)
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
Sweat, Jeffrey; Jones, Glenda; Han, Suejung; Wolfgram, Susan M. – International Journal for the Scholarship of Teaching and Learning, 2013
This High Impact Practices (HIPS) contribute to higher retention and graduation rates. HIPS are effective for racial and ethnic minorities in particular, who disproportionately experience high and persistent levels of postsecondary attrition. Little is known about the mechanism by which HIPS promote retention. Based on a random survey of 268…
Descriptors: Predictor Variables, Predictive Validity, Academic Persistence, Graduation Rate
Cox, G. W.; Hughes, W. E., Jr.; Etzkorn, L. H.; Weisskopf, M. E. – IEEE Transactions on Education, 2009
This paper presents the results of an analysis of indicators that can be used to predict whether a student will succeed in a Computer Science Ph.D. program. The analysis was conducted by studying the records of 75 students who have been in the Computer Science Ph.D. program of the University of Alabama in Huntsville. Seventy-seven variables were…
Descriptors: Case Studies, Prediction, Computer Science Education, Doctoral Degrees
