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Evaluating Food Policy Councils Using Structural Equation Modeling

Citation

Calancie, Larissa; Allen, Nicole E.; Ng, Shu Wen; Weiner, Bryan J.; Ward, Dianne S.; Ware, William B.; & Ammerman, Alice S. (2018). Evaluating Food Policy Councils Using Structural Equation Modeling. American Journal of Community Psychology, 61(1-2), 251-264. PMCID: PMC7262635

Abstract

At least 282 Food Policy Councils (FPCs) 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 FPCs is limited. This study empirically evaluates FPCs 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 FPCs in the US, 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 (chi(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 FPCs efficiently work toward achieving their missions and improving their local food system.

URL

http://dx.doi.org/10.1002/ajcp.12207

Reference Type

Journal Article

Year Published

2018

Journal Title

American Journal of Community Psychology

Author(s)

Calancie, Larissa
Allen, Nicole E.
Ng, Shu Wen
Weiner, Bryan J.
Ward, Dianne S.
Ware, William B.
Ammerman, Alice S.

PMCID

PMC7262635