Evaluating Food Policy Councils Using Structural Equation Modeling
Abstract At least 282 Food Policy Councils ( FPC s) are currently working to improve access to healthy foods in their communities by connecting food system sectors, gathering community input, and advising food policy. Empirical research on FPC s is limited. This study empirically evaluates FPC s to...
Published in: | American Journal of Community Psychology |
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crwiley:10.1002/ajcp.12207 2024-06-02T08:06:45+00:00 Evaluating Food Policy Councils Using Structural Equation Modeling Calancie, Larissa Allen, Nicole E. Ng, Shu Wen Weiner, Bryan J. Ward, Dianne S. Ware, William B. Ammerman, Alice S. National Center for Advancing Translational Sciences National Institutes of Health 2017 http://dx.doi.org/10.1002/ajcp.12207 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fajcp.12207 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajcp.12207 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor American Journal of Community Psychology volume 61, issue 1-2, page 251-264 ISSN 0091-0562 1573-2770 journal-article 2017 crwiley https://doi.org/10.1002/ajcp.12207 2024-05-03T10:55:28Z Abstract At least 282 Food Policy Councils ( FPC s) are currently working to improve access to healthy foods in their communities by connecting food system sectors, gathering community input, and advising food policy. Empirical research on FPC s is limited. This study empirically evaluates FPC s to better understand the relationships between Organizational Capacity, Social Capital, and Council Effectiveness by testing a FPC Framework adapted from Allen and colleagues (2012). Members of all FPC s in the U.S., Canada, and Native American Tribes and First Nations were invited to complete the Food Policy Council Self‐Assessment Tool ( FPC ‐ SAT ). Structural equation modeling was used to test the FPC Framework. Three hundred and fifty‐four FPC members from 95 councils completed the FPC ‐ SAT . After slight modification, a revised FPC Framework was a good fit with the data (χ 2 = 40.085, df = 24, p ‐value = .021, comparative fit index = 0.988, Tucker Lewis index = 0.982, root mean squared error of approximation = 0.044, p ‐close = .650). A moderation analysis revealed that community context influences the relationship between Social Capital and Council Effectiveness within the FPC Framework. The FPC Framework can guide capacity building interventions and FPC evaluations. The empirically tested framework can help FPC s efficiently work toward achieving their missions and improving their local food system. Article in Journal/Newspaper First Nations Wiley Online Library Canada American Journal of Community Psychology 61 1-2 251 264 |
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Wiley Online Library |
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English |
description |
Abstract At least 282 Food Policy Councils ( FPC s) are currently working to improve access to healthy foods in their communities by connecting food system sectors, gathering community input, and advising food policy. Empirical research on FPC s is limited. This study empirically evaluates FPC s to better understand the relationships between Organizational Capacity, Social Capital, and Council Effectiveness by testing a FPC Framework adapted from Allen and colleagues (2012). Members of all FPC s in the U.S., Canada, and Native American Tribes and First Nations were invited to complete the Food Policy Council Self‐Assessment Tool ( FPC ‐ SAT ). Structural equation modeling was used to test the FPC Framework. Three hundred and fifty‐four FPC members from 95 councils completed the FPC ‐ SAT . After slight modification, a revised FPC Framework was a good fit with the data (χ 2 = 40.085, df = 24, p ‐value = .021, comparative fit index = 0.988, Tucker Lewis index = 0.982, root mean squared error of approximation = 0.044, p ‐close = .650). A moderation analysis revealed that community context influences the relationship between Social Capital and Council Effectiveness within the FPC Framework. The FPC Framework can guide capacity building interventions and FPC evaluations. The empirically tested framework can help FPC s efficiently work toward achieving their missions and improving their local food system. |
author2 |
National Center for Advancing Translational Sciences National Institutes of Health |
format |
Article in Journal/Newspaper |
author |
Calancie, Larissa Allen, Nicole E. Ng, Shu Wen Weiner, Bryan J. Ward, Dianne S. Ware, William B. Ammerman, Alice S. |
spellingShingle |
Calancie, Larissa Allen, Nicole E. Ng, Shu Wen Weiner, Bryan J. Ward, Dianne S. Ware, William B. Ammerman, Alice S. Evaluating Food Policy Councils Using Structural Equation Modeling |
author_facet |
Calancie, Larissa Allen, Nicole E. Ng, Shu Wen Weiner, Bryan J. Ward, Dianne S. Ware, William B. Ammerman, Alice S. |
author_sort |
Calancie, Larissa |
title |
Evaluating Food Policy Councils Using Structural Equation Modeling |
title_short |
Evaluating Food Policy Councils Using Structural Equation Modeling |
title_full |
Evaluating Food Policy Councils Using Structural Equation Modeling |
title_fullStr |
Evaluating Food Policy Councils Using Structural Equation Modeling |
title_full_unstemmed |
Evaluating Food Policy Councils Using Structural Equation Modeling |
title_sort |
evaluating food policy councils using structural equation modeling |
publisher |
Wiley |
publishDate |
2017 |
url |
http://dx.doi.org/10.1002/ajcp.12207 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fajcp.12207 https://onlinelibrary.wiley.com/doi/pdf/10.1002/ajcp.12207 |
geographic |
Canada |
geographic_facet |
Canada |
genre |
First Nations |
genre_facet |
First Nations |
op_source |
American Journal of Community Psychology volume 61, issue 1-2, page 251-264 ISSN 0091-0562 1573-2770 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/ajcp.12207 |
container_title |
American Journal of Community Psychology |
container_volume |
61 |
container_issue |
1-2 |
container_start_page |
251 |
op_container_end_page |
264 |
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1800751726366556160 |