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Fernandez, Maya Thomas – College and University, 2021
This quantitative study was designed to explore the factors that most impact the job satisfaction of community college deans in one North Texas district. Quantitative data was collected to compare results among deans with titles ranging from dean, assistant dean, associate dean and executive dean. The Minnesota Satisfaction Questionnaire (MSQ) was…
Descriptors: Job Satisfaction, Community Colleges, Deans, Questionnaires
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Ishitani, Terry – College and University, 2020
This study investigated the relationship between institutional graduation rates of students with Pell grants and institutional/financial aid characteristics. Study findings suggest that increasing the proportion of Pell recipients was related to a decrease in Pell student graduation rates, while increasing institutional grants was associated with…
Descriptors: Graduation Rate, Federal Aid, Grants, Student Financial Aid
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Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
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Sadler, Philip M.; Tai, Robert H. – College and University, 2007
The purpose of the current study is to investigate the feasibility of accounting for student performance in advanced high school coursework through the adjustment of high school grade point average (HSGPA) while separating out variables that are independently considered in the admission process, e.g., SAT/ACT scores, community affluence, type of…
Descriptors: Higher Education, Undergraduate Students, Advanced Placement Programs, Predictor Variables
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Anderson, Joan L. – College and University, 2006
Data from graduate student applications at a large Western university were used to determine which factors were the best predictors of success in graduate school, as defined by cumulative graduate grade point average. Two statistical models were employed and compared: artificial neural networking and simultaneous multiple regression. Both models…
Descriptors: Graduate Students, Grade Point Average, Predictor Variables, Success