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Wladis, Claire; Conway, Katherine M.; Hachey, Alyse C. – Online Learning, 2016
This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…
Descriptors: Online Courses, Electronic Learning, Learning Readiness, Student Characteristics
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Johnson, James – NACADA Journal, 2013
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…
Descriptors: Risk Assessment, College Athletics, Athletes, Graduation Rate
Rayno, Marisue – ProQuest LLC, 2010
Nursing student attrition in community colleges negatively affects students, faculty, colleges, and the nursing profession. The purpose of this quantitative correlational retrospective research study was to examine the possible relationships between each of the independent variables of academic preparedness (as measured by NET mathematics and…
Descriptors: Nursing Students, Associate Degrees, Student Attrition, Science Curriculum
Zhang, Zhicheng; RiCharde, R. Stephen – 1998
This paper tested the hypothesis that certain cognitive, affective, and psychomotor variables were significant predictors of college persistence in the first few weeks of the freshman year. Data for the study involved 462 freshmen, with an average age of 18, who matriculated in the fall of 1997 at a public higher education institution; about 93…
Descriptors: Academic Persistence, Analysis of Variance, College Freshmen, College Outcomes Assessment