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Sass, Daniel A.; Castro-Villarreal, Felicia; Wilkerson, Steve; Guerra, Norma; Sullivan, Jeremy – Review of Higher Education, 2018
Student retention models were tested via structural equation modeling to examine the interrelations and predictability among socioeconomic status, psychosocial, and student success variables with a sample of 445 undergraduate students attending a large Hispanic serving institution. The proposed theoretical model included socioeconomic status…
Descriptors: Undergraduate Students, Hispanic American Students, Structural Equation Models, Predictor Variables
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
Advanced Technology, Inc., Reston, VA. – 1984
The development of the error prone model (EPM) for the 1984-1985 student financial aid validation criteria for Pell Grant recipient selection is discussed, based on a comparison of the 1983-1984 EPM criteria and a newly estimated EPM. Procedures/assumptions on which the new EPM was based include: a sample of 1982-1983 Pell Grant recipients…
Descriptors: Comparative Analysis, Dependents, Error Patterns, Evaluation Criteria
Advanced Technology, Inc., Reston, VA. – 1982
The development of a number of error-prone models to select Pell Grant recipients for validation is discussed. The 1983-1984 Pell Grant validation strategy consists of a two-stage approach: selection using Pre-Established Criteria (PEC) followed by selection using Error Prone Modeling (EPM). The database used for model development consists of a…
Descriptors: Comparative Analysis, Cost Effectiveness, Dependents, Error Patterns