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Gray, Susan; And Others – 1980
Findings of phase 1 of a study of the 1979-1980 Basic Educational Opportunity Grants validation, edits, and application processing system are presented. The study was designed to: assess the impact of the validation effort and processing system edits on the correct award of Basic Grants; and assess the characteristics of students most likely to…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Gray, Susan; And Others – 1980
An update to the Validation, Edits, and Application Processing and Error-Prone Model Report (Section 1, July 3, 1980) is presented. The objective is to present the most current data obtained from the June 1980 Basic Educational Opportunity Grant applicant and recipient files and to determine whether the findings reported in Section 1 of the July…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Applied Management Sciences, Inc., Silver Spring, MD. – 1979
The 1978-1979 pre-award institution validation process for the Basic Educational Opportunity Grant (BEOG) program was studied, based on applicant and grant recipient files as of the end of February 1979. The objective was to assess the impact of the validation process on the proper award of BEOGs, and to determine whether the criteria for…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Applied Management Sciences, Inc., Silver Spring, MD. – 1979
The validity of data provided through rejection edits of students applying for Basic Educational Opportunity Grants (BEOGs) was assessed. The question of whether some edits were associated with applicants' failure to reapply was also considered. The analysis used the 1978-1979 BEOG applicant population. A total of 3,823,008 applicants had applied…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Applied Management Sciences, Inc., Silver Spring, MD. – 1979
A Pre-Award Validation Analysis was conducted in 1978-1979 to provide the federal government information about the accuracy of data provided by applicants for Basic Educational Opportunity Grants. New procedures involved: validation of selected applications by college financial aid officers using documentation such as Federal Income Tax forms;…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Advanced Technology, Inc., Reston, VA. – 1985
Efforts of the Department of Education (ED) to simplify the Pell Grant formula by reducing the number of data elements used to calculate awards (i.e., data element reduction) are evaluated. A framework is developed to assess the critical characteristics of individual data elements, to eliminate elements from the formula, and to develop proposals…
Descriptors: Computation, Data Collection, Efficiency, Eligibility
Advanced Technology, Inc., Reston, VA. – 1984
The impact of data discrepancies made by colleges on the Fiscal Operations Report and Application to Participate (FISAP) is addressed, with attention to both impact on the entire aid program and resource allocation to institutions. Brief descriptions are provided of the allocation formulas for the three campus-based aid programs (Supplemental…
Descriptors: Computation, Data Collection, Error Patterns, Evaluation Criteria
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