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Bozick, Robert; Gonzalez, Gabriella; Engberg, John – Journal of Student Financial Aid, 2015
The Pittsburgh Promise is a scholarship program that provides $5,000 per year toward college tuition for public high school graduates in Pittsburgh, Pennsylvania who earned a 2.5 GPA and a 90% attendance record. This study used a difference-in-difference design to assess whether the introduction of the Promise scholarship program directly…
Descriptors: Merit Scholarships, College Bound Students, Enrollment Influences, Enrollment Management
Mendoza, Pilar – Journal of Student Financial Aid, 2012
Using the 2007-2008 National Postsecondary Student Aid Study, this study tested positively the hypothesis that college students are either likely to acquire debt above the national median or work more than 30 hours a week in order to graduate from a four year degree within six years. These results resonate with the theory of academic capitalism,…
Descriptors: Student Financial Aid, Debt (Financial), College Students, Higher Education
Cofer, James; Somers, Patricia – Journal of Student Financial Aid, 1999
Examined the influence of student debt load on college persistence using data from the National Postsecondary Aid Survey of 1992-93 and a model of student persistence that includes either total accumulated debt or threshold of accumulated debt. Findings indicated threshold of accumulated debt was a more effective method of examining student debt…
Descriptors: Academic Persistence, Debt (Financial), Higher Education, Loan Default
Herr, Elizabeth; Burt, Larry – Journal of Student Financial Aid, 2005
During spring 2001, Noel-Levitz created a student loan default model for the University of Texas at Austin (UT Austin). The goal of this project was to identify students most likely to default, to identify as risk elements those characteristics that contributed to student loan default, and to use these risk elements to plan and implement targeted,…
Descriptors: Student Loan Programs, Academic Persistence, Loan Default, Predictor Variables
Myers, Greeley; Siera, Steven – Journal of Student Financial Aid, 1980
Default on guaranteed student loans has been increasing. The use of discriminant analysis as a technique to identify "good" v "bad" student loans based on information available from the loan application is discussed. Research to test the ability of models to such predictions is reported. (Author/MLW)
Descriptors: College Students, Data Analysis, Discriminant Analysis, Financial Aid Applicants