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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| Veröffentlicht in: | Evaluation review 1990-08, Vol.14 (4), p.391-410 |
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| creator | Hand, Michael L. |
| description | 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. |
| doi_str_mv | 10.1177/0193841X9001400404 |
| format | Article |
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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
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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.</description><subject>Bootstrap Hypothesis</subject><subject>Decision Making</subject><subject>Equations (Mathematics)</subject><subject>Error Patterns</subject><subject>Family Assistance Plans</subject><subject>Family Income</subject><subject>Family policy</subject><subject>Federal Aid</subject><subject>Federal Government</subject><subject>Federal Programs</subject><subject>Federal State Relationship</subject><subject>Financial Support</subject><subject>Food Stamp Program</subject><subject>Government Policy</subject><subject>Mathematical Models</subject><subject>Methods Research</subject><subject>Monte Carlo Methods</subject><subject>Oregon</subject><subject>Quality Control</subject><subject>Regression (Statistics)</subject><subject>Resampling</subject><subject>Resource Allocation</subject><subject>Samples</subject><subject>Sampling</subject><subject>United States of America</subject><subject>Welfare Services</subject><issn>0193-841X</issn><issn>1552-3926</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><sourceid>BHHNA</sourceid><recordid>eNqF0UtLAzEQB_AgCtbHFxAPAUG8rM7knWOp1geCDxS8LemaLSvZ3ZpsD_32bq2IKOopkPz-E2aGkD2EY0StTwAtNwKfLAAKAAFijQxQSpZxy9Q6GSxBthSbZCulF-gdCD0gN0N675OrZ6FqpnTYuLBIVaJtScf-2UcX6NjVVVjQYervO9cUnt7GdhpdTe_mLlTdgo7apottoKeucztko3Qh-d2Pc5s8js8eRhfZ9c355Wh4nRXcsC4ztix16UEag4xBUVhhwahCSWXkRCsGzguOQmmvQakJMCknpSk1Y8ic1HybHK7qzmL7Ovepy-sqFT4E1_h2nnKF0vYNmn8h1wBScdvDoz8haoUaORjs6cE3-tLOYz-7XjErETi8F2QrVcQ2pejLfBar2sVFjpAvt5b_3Fof2l-FfKyKz8DZlUDBzLLtk9VzclP_5dffC74Bp9Sc8Q</recordid><startdate>19900801</startdate><enddate>19900801</enddate><creator>Hand, Michael L.</creator><general>Sage Publications</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>JILTI</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope><scope>7U3</scope><scope>BHHNA</scope><scope>8BJ</scope><scope>FQK</scope><scope>JBE</scope></search><sort><creationdate>19900801</creationdate><title>A Resampling Analysis of Federal Family Assistance Program Quality Control Data</title><author>Hand, Michael L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-89ff7fe05881220cc949086c65685b7620ae431467e7066b0255bf8f72212a573</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Bootstrap Hypothesis</topic><topic>Decision Making</topic><topic>Equations (Mathematics)</topic><topic>Error Patterns</topic><topic>Family Assistance Plans</topic><topic>Family Income</topic><topic>Family policy</topic><topic>Federal Aid</topic><topic>Federal Government</topic><topic>Federal Programs</topic><topic>Federal State Relationship</topic><topic>Financial Support</topic><topic>Food Stamp Program</topic><topic>Government Policy</topic><topic>Mathematical Models</topic><topic>Methods Research</topic><topic>Monte Carlo Methods</topic><topic>Oregon</topic><topic>Quality Control</topic><topic>Regression (Statistics)</topic><topic>Resampling</topic><topic>Resource Allocation</topic><topic>Samples</topic><topic>Sampling</topic><topic>United States of America</topic><topic>Welfare Services</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hand, Michael L.</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 32</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - 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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.</abstract><cop>Thousand Oaks, CA</cop><pub>Sage Publications</pub><doi>10.1177/0193841X9001400404</doi><tpages>20</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0193-841X |
| ispartof | Evaluation review, 1990-08, Vol.14 (4), p.391-410 |
| issn | 0193-841X 1552-3926 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_61590478 |
| source | SAGE Complete; Alma/SFX Local Collection; Sociological Abstracts; Periodicals Index Online |
| subjects | Bootstrap Hypothesis Decision Making Equations (Mathematics) Error Patterns Family Assistance Plans Family Income Family policy Federal Aid Federal Government Federal Programs Federal State Relationship Financial Support Food Stamp Program Government Policy Mathematical Models Methods Research Monte Carlo Methods Oregon Quality Control Regression (Statistics) Resampling Resource Allocation Samples Sampling United States of America Welfare Services |
| title | A Resampling Analysis of Federal Family Assistance Program Quality Control Data: An Application of the Bootstrap |
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