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Independent Agencies and Research Program Performance
Combining performance data from the Bush Administration's Program Assessment Rating Tool (PART) initiative with measures of organizational independence, I examine whether insulated and plural leadership structures are consequential for the outcomes of the federal programs administered by them....
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171103/ https://www.ncbi.nlm.nih.gov/pubmed/35686115 http://dx.doi.org/10.3389/frma.2022.856862 |
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author | Keckler, Charles N. W. |
author_facet | Keckler, Charles N. W. |
author_sort | Keckler, Charles N. W. |
collection | PubMed |
description | Combining performance data from the Bush Administration's Program Assessment Rating Tool (PART) initiative with measures of organizational independence, I examine whether insulated and plural leadership structures are consequential for the outcomes of the federal programs administered by them. Using regression modeling and controlling for program type, I find that embedding programs in independent agencies is positively and significantly related to ratings of program performance. The effects of independent commissions appear mediated in these models by their positive association with the PART scores given to certain program types, notably research programs. These results are problematic for any global attribution of greater effectiveness to executive agencies under single-headed control and closer presidential direction. |
format | Online Article Text |
id | pubmed-9171103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91711032022-06-08 Independent Agencies and Research Program Performance Keckler, Charles N. W. Front Res Metr Anal Research Metrics and Analytics Combining performance data from the Bush Administration's Program Assessment Rating Tool (PART) initiative with measures of organizational independence, I examine whether insulated and plural leadership structures are consequential for the outcomes of the federal programs administered by them. Using regression modeling and controlling for program type, I find that embedding programs in independent agencies is positively and significantly related to ratings of program performance. The effects of independent commissions appear mediated in these models by their positive association with the PART scores given to certain program types, notably research programs. These results are problematic for any global attribution of greater effectiveness to executive agencies under single-headed control and closer presidential direction. Frontiers Media S.A. 2022-05-24 /pmc/articles/PMC9171103/ /pubmed/35686115 http://dx.doi.org/10.3389/frma.2022.856862 Text en Copyright © 2022 Keckler. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Research Metrics and Analytics Keckler, Charles N. W. Independent Agencies and Research Program Performance |
title | Independent Agencies and Research Program Performance |
title_full | Independent Agencies and Research Program Performance |
title_fullStr | Independent Agencies and Research Program Performance |
title_full_unstemmed | Independent Agencies and Research Program Performance |
title_short | Independent Agencies and Research Program Performance |
title_sort | independent agencies and research program performance |
topic | Research Metrics and Analytics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171103/ https://www.ncbi.nlm.nih.gov/pubmed/35686115 http://dx.doi.org/10.3389/frma.2022.856862 |
work_keys_str_mv | AT kecklercharlesnw independentagenciesandresearchprogramperformance |