ERIC Number: ED254148
Record Type: Non-Journal
Publication Date: 1982-Dec
Reference Count: N/A
Development and Use of Error-Prone Models to Supplement Pre-Established Criteria (PEC) in Selecting Pell Grant Recipients for Validation.
Advanced Technology, Inc., Reston, VA.; Westat Research, Inc., Rockville, MD.
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 sample of 1980-1981 Pell Grant Recipients. The policy question is which students should be selected for various types of validation measures. Eight effectiveness measures are defined, and for each measure an error-prone model is developed that will identify those cases for which the corresponding type of validations will uncover the highest level of error. The data elements include: income, U.S. taxes paid, household size, nontaxable income, liquid assets, spouse income, and dependency status. The eight models are then compared in order to identify the most cost-effective approach to marginal selection for validation. The measures refer only to the payment consequences of discrepancies likely to be uncovered by the corresponding type of validation being used. Detailed appendices include EPM error tables and Automatic Interaction Detector coding categories for predictor variables. (SW)
Descriptors: Comparative Analysis, Cost Effectiveness, Dependents, Error Patterns, Evaluation Criteria, Family Characteristics, Federal Aid, Financial Aid Applicants, Higher Education, Income, Mathematical Models, Need Analysis (Student Financial Aid), Prediction, Predictor Variables, Self Supporting Students, Statistical Analysis, Student Characteristics, Student Financial Aid
Publication Type: Numerical/Quantitative Data; Reports - Descriptive
Education Level: N/A
Sponsor: Office of Student Financial Assistance (ED), Washington, DC.
Authoring Institution: Advanced Technology, Inc., Reston, VA.; Westat Research, Inc., Rockville, MD.
Identifiers - Laws, Policies, & Programs: Pell Grant Program