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Education Commission of the States, 2020
What do state policies say about how to fund postsecondary education? This 50-State Comparison answers this question by searching state statutes, state rules and regulations, enacted state budget bills, and state postsecondary education agency policies that address postsecondary education budgeting and funding. According to the content of the…
Descriptors: Educational Finance, State Aid, Educational Policy, State Policy
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