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Mosier, Karen E. – Journal of Research Administration, 2022
Background: The content presents a conceptually powerful and attractive framework for understanding the proposal development process to capture the complexity of the steps that contribute to successful grant writing. Based on experiences from 15 years in research administration and using real-life examples, the author juxtaposes the diverse roles…
Descriptors: Grantsmanship, Grants, Professional Personnel, Financial Support
Advanced Technology, Inc., Reston, VA. – 1983
The purpose and direction of the Office of Student Financial Aid (OSFA) quality improvement program are described. The background and context for the Pell Grant quality control (QC) design study and the meaning of QC are reviewed. The general approach to quality improvement consists of the following elements: a strategic approach that enables OSFA…
Descriptors: Change Strategies, Delivery Systems, Error Patterns, Federal Aid
Advanced Technology, Inc., Reston, VA. – 1982
A preliminary design for a quality control (QC) system for the Pell Grant Program is proposed, based on the needs of the Office of Student Financial Assistance (OSFA). The applicability of the general design for other student aid programs administered by OSFA is also considered. The following steps included in a strategic approach to QC system…
Descriptors: Administrative Policy, Agency Role, Delivery Systems, Error Patterns
Saavedra, Pedro; And Others – 1980
Parameters and procedures for developing an error-prone model (EPM) to predict financial aid applicants who are likely to misreport on Basic Educational Opportunity Grant (BEOG) applications are introduced. Specifications to adapt these general parameters to secondary data analysis of the Validation, Edits, and Applications Processing Systems…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Gray, Susan; And Others – 1980
The impact of quality assurance procedures on the correct award of Basic Educational Opportunity Grants (BEOGs) for 1979-1980 was assessed, and a model for detecting error-prone applications early in processing was developed. The Bureau of Student Financial Aid introduced new comments into the edit system in 1979 and expanded the pre-established…
Descriptors: Accountability, College Students, Disclosure, Eligibility
System Development Corp., Falls Church, VA. – 1981
An evaluation of existing and proposed mechanisms to ensure data accuracy for the Pell Grant program is reported, and recommendations for efficient detection of fraud and error in the program are offered. One study objective was to examine the existing system of pre-established criteria (PEC), which are validation criteria that select students on…
Descriptors: Accountability, College Students, Disclosure, Eligibility
Saavedra, Pedro; Kuchak, JoAnn – 1980
An error-prone model (EPM) to predict financial aid applicants who are likely to misreport on Basic Educational Opportunity Grant (BEOG) applications was developed, based on interviews conducted with a quality control sample of 1,791 students during 1978-1979. The model was designed to identify corrective methods appropriate for different types of…
Descriptors: Accountability, College Students, Dependents, Disclosure
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. – 1983
The issues, options, and procedures for annually measuring overall payment error in the Pell Grant program are specified in detail. Guidelines for establishing a definition of Pell Grant payment error are provided, and the design issues related to error measurement are examined. A comparison is made of options for selecting a study sample and for…
Descriptors: Accountability, Compliance (Legal), Costs, Data Collection