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Brown, Chanda Denea – Online Submission, 2015
This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…
Descriptors: Models, Loan Default, Community Colleges, Undergraduate Students
Klieger, David M.; Cline, Frederick A.; Holtzman, Steven L.; Minsky, Jennifer L.; Lorenz, Florian – ETS Research Report Series, 2014
Given the serious consequences of making ill-fated admissions and funding decisions for applicants to graduate and professional school, it is important to rely on sound evidence to optimize such judgments. Previous meta-analytic research has demonstrated the generalizable validity of the "GRE"® General Test for predicting academic…
Descriptors: College Entrance Examinations, Graduate Study, Prediction, Predictive Validity
Hedges, Larry V.; Hedberg, Eric C. – Grantee Submission, 2013
Background: Cluster randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…
Descriptors: Correlation, Multivariate Analysis, Educational Experiments, Academic Achievement
Steiner, Matt; Tym, Carmen – TG (Texas Guaranteed Student Loan Corporation), 2005
This study on default analyzes 17,036 undergraduate borrowers who attended the University of South Florida (USF), and who entered repayment on Federal Family Education Loan Program (FFELP) loans during federal fiscal years 1999, 2000, 2001, and 2002. Of the 17,036 USF undergraduate borrowers, 766 defaulted (4.5 percent). The report employs a…
Descriptors: Multivariate Analysis, Student Loan Programs, Loan Default, Undergraduate Students

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