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A Resampling Analysis of Federal Family Assistance Program Quality Control Data: An Application of the Bootstrap
Federal quality control (QC) programs for the measurement of payment allocation errors in federally funded Family Assistance Programs have been at the center of a hot controversy. In 1986, Congress directed the Department of Health and Human Services to contract with the National Academy of Sciences...
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Published in: | Evaluation review 1990-08, Vol.14 (4), p.391-410 |
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Main Author: | |
Format: | Article |
Language: | English |
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Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Federal quality control (QC) programs for the measurement of payment allocation errors in
federally funded Family Assistance Programs have been at the center of a hot controversy. In
1986, Congress directed the Department of Health and Human Services to contract with the
National Academy of Sciences to study these QC programs. The Academy's Panel on Quality
Control of Family Assistance Programs has recently completed its work on the study. Existing
federal QC methodology employs a two-phase sampling scheme, giving rise to a regression
estimator of the allotment error rate. A key issue in the QC debate is the appropriateness of the
regression estimator in view of marked departure of the QC data from the standard model-based
conditions for linear regression -linearity, constancy of variance, and normality of error. In this
study, we employ bootstrap resampling methods to investigate the effects of these departures on
the efficiency of the regresscon estimator of the error rate. The analysis is based upon actual QC
data from the Oregon Food Stamp Program. |
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ISSN: | 0193-841X 1552-3926 |
DOI: | 10.1177/0193841X9001400404 |