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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article"><?properties manuscript?><front><journal-meta><journal-id journal-id-type="nlm-journal-id">0364535</journal-id><journal-id journal-id-type="pubmed-jr-id">415</journal-id><journal-id journal-id-type="nlm-ta">Am J Community Psychol</journal-id><journal-id journal-id-type="iso-abbrev">Am J Community Psychol</journal-id><journal-title-group><journal-title>American journal of community psychology</journal-title></journal-title-group><issn pub-type="ppub">0091-0562</issn><issn pub-type="epub">1573-2770</issn></journal-meta><article-meta><article-id pub-id-type="pmid">29251343</article-id><article-id pub-id-type="pmc">7262635</article-id><article-id pub-id-type="doi">10.1002/ajcp.12207</article-id><article-id pub-id-type="manuscript">NIHMS918833</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Evaluating Food Policy Councils Using Structural Equation Modeling</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Calancie</surname><given-names>Larissa</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A1">a</xref></contrib><contrib contrib-type="author"><name><surname>Allen</surname><given-names>Nicole E.</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A2">b</xref></contrib><contrib contrib-type="author"><name><surname>Ng</surname><given-names>Shu Wen</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A3">c</xref><xref ref-type="aff" rid="A4">d</xref></contrib><contrib contrib-type="author"><name><surname>Weiner</surname><given-names>Bryan J.</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A5">e</xref></contrib><contrib contrib-type="author"><name><surname>Ward</surname><given-names>Dianne S.</given-names></name><degrees>EdD</degrees><xref ref-type="aff" rid="A3">c</xref></contrib><contrib contrib-type="author"><name><surname>Ware</surname><given-names>William B.</given-names></name><degrees>PhD</degrees><xref ref-type="aff" rid="A6">f</xref></contrib><contrib contrib-type="author"><name><surname>Ammerman</surname><given-names>Alice S.</given-names></name><degrees>DrPH</degrees><xref ref-type="aff" rid="A3">c</xref><xref ref-type="aff" rid="A7">g</xref></contrib></contrib-group><aff id="A1"><label>a</label>Center for Health Equity Research, School of Medicine, University of North Carolina at Chapel Hill, NC 27516</aff><aff id="A2"><label>b</label>Department of Psychology, 721 Psychology Bldg., 603 E. Daniel Street, M/C 716, Champaign, IL 61820</aff><aff id="A3"><label>c</label>Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27516</aff><aff id="A4"><label>d</label>Carolina Population Center, University of North Carolina at Chapel Hill, CB# 8120, Chapel Hill, NC 27516</aff><aff id="A5"><label>e</label>Department of Global Health, University of Washington, 1510 San Juan Road, Seattle, WA 98195</aff><aff id="A6"><label>f</label>Educational Psychology, Measurement, and Evaluation &#x00026; Learning Sciences and Psychological Studies, School of Education, University of North Carolina at Chapel Hill, CB #3500 - 118 Peabody Hall, Chapel Hill, NC 27599-3500</aff><aff id="A7"><label>g</label>Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill, 1700 Martin Luther King Jr. Blvd., CB# 7426, Chapel Hill, NC, 27599-7426</aff><author-notes><corresp id="CR1"><email>lcalancie@unc.edu</email></corresp></author-notes><pub-date pub-type="nihms-submitted"><day>13</day><month>5</month><year>2020</year></pub-date><pub-date pub-type="epub"><day>18</day><month>12</month><year>2017</year></pub-date><pub-date pub-type="ppub"><month>3</month><year>2018</year></pub-date><pub-date pub-type="pmc-release"><day>01</day><month>6</month><year>2020</year></pub-date><volume>61</volume><issue>1-2</issue><fpage>251</fpage><lpage>264</lpage><!--elocation-id from pubmed: 10.1002/ajcp.12207--></article-meta></front><body><sec id="S1"><title>INTRODUCTION</title><p id="P1">Collaborative approaches to change are ubiquitous in the United States (US) and around the world. Councils, task forces, and coalitions have formed across the country to respond to complex social issues including substance use prevention (<xref rid="R22" ref-type="bibr">Florin, Mitchell, Stevenson, &#x00026; Klein, 2000</xref>; <xref rid="R20" ref-type="bibr">Florin et al., 2006</xref>), health promotion (<xref rid="R12" ref-type="bibr">Butterfoss, Goodman, &#x00026; Wandersman, 1993</xref>; <xref rid="R13" ref-type="bibr">Butterfoss &#x00026; Kegler, 2009</xref>), and family violence (<xref rid="R2" ref-type="bibr">Allen, Javdani, Lehrner, &#x00026; Walden, 2012</xref>; <xref rid="R3" ref-type="bibr">Allen et al., 2013</xref>). In recent years, collaborative models have been applied in response to growing concerns about obesity (<xref rid="R35" ref-type="bibr">Huang et al., 2015</xref>), access to affordable healthy food (<xref rid="R56" ref-type="bibr">Walsh, Taggart, Freedman, Trapl, &#x00026; Borawski, 2015</xref>), and food system sustainability (<xref rid="R31" ref-type="bibr">Hassanein, 2003</xref>). The aim of the current study was to apply existing models regarding the effectiveness of collaborative settings to the specific context of Food Policy Councils (FPCs). This creates a two-fold purpose. The first is to examine the applicability of the extant literature on collaboration to the efforts of FPCs. The second is to extend the current knowledge on collaborative settings by testing and refining a parsimonious model of FPC effectiveness adapted from an empirically supported model developed for Family Violence Councils (see <xref rid="R2" ref-type="bibr">Allen, Javdani, Lehrner, &#x00026; Walden, 2012</xref>).</p><p id="P2">FPCs are organizations that bring together stakeholders from across the food system to identify food system issues and solutions, coordinate programs, and inform policy (<xref rid="R30" ref-type="bibr">Harper, Shattuck, Holt-Gim&#x000e9;nez, Alkon, &#x00026; Lambrick, 2009</xref>). The number of FPCs in the US, Canada, and Tribal &#x00026; First Nations increased from 43 in 2005 to 282 in 2015 (<xref rid="R23" ref-type="bibr">Food Policy Network, 2015a</xref>). Currently, 41% of FPCs consider themselves to be grassroots organizations, 16% are non-profits, and 18% are directly affiliated with government and may operate at local (county, municipal), state, province, tribe, and regional levels (<xref rid="R23" ref-type="bibr">Food Policy Network, 2015a</xref>). While the missions of FPCs vary, councils generally aim to increase access to healthy foods, promote sustainable, local agriculture and economic growth, and encourage equity within food systems (<xref rid="R51" ref-type="bibr">Scherb, Palmer, Frattaroli, &#x00026; Pollack, 2012</xref>; <xref rid="R52" ref-type="bibr">Schiff, 2008</xref>). In doing so, FPCs have the potential to improve the context in which individuals make decisions related to their health and socioeconomic factors described in the Public Health Impact Pyramid (<xref rid="R26" ref-type="bibr">Frieden, 2010</xref>). The Centers for Disease Control and Prevention recommend establishing FPCs to improve the local and state food environments, specifically through increasing access to fruits and vegetables (<xref rid="R15" ref-type="bibr">Centers for Disease Control and Prevention, 2011</xref>).</p><p id="P3">Despite increased interest in FPCs as a strategy for improving food environments in communities, there is little evidence about what factors make FPCs effective. Numerous reports and case studies that describe FPCs provide valuable information about FPCs, but they do not offer a framework for FPC function that is testable and generalizable across councils (<xref rid="R9" ref-type="bibr">Borron, 2003</xref>; <xref rid="R18" ref-type="bibr">Dahlberg, 1994</xref>; <xref rid="R52" ref-type="bibr">Schiff, 2008</xref>). Without such a framework, it is challenging to evaluate what internal council processes are working and what could be improved across councils (<xref rid="R30" ref-type="bibr">Harper et al., 2009</xref>; <xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>). FPC members could waste time, energy, and limited resources if they do not have guidance about best practices within FPCs. Moreover, a common vocabulary that is used to describe abstract concepts related to FPC function could help FPC members efficiently communicate with fellow council members, as well as with funders and decision-makers. The growth of FPCs shows that councils are an appealing strategy for coordinating responses to complex food system issues, yet empirical evaluation of FPCs is limited.</p><p id="P4">Evaluating community councils (such as FPCs), coalitions, collaboratives, and partnerships is challenging (<xref rid="R6" ref-type="bibr">Berkowitz, 2001</xref>; <xref rid="R58" ref-type="bibr">Webb, Pelletier, Maretzki, &#x00026; Wilkins, 1998</xref>). These initiatives are complicated because they require groups of individuals who may have divergent goals and levels of commitment to work together towards a common vision (<xref rid="R33" ref-type="bibr">Himmelman, 2001</xref>). The processes governing FPC function can strengthen council members&#x02019; satisfaction in the council, or lead to dissatisfaction and erode members&#x02019; investment in the council (<xref rid="R59" ref-type="bibr">Weiner, Alexander, &#x00026; Shortell, 2002</xref>). Therefore evaluating the internal processes by which councils operate is important in order to explain why some councils are effective in achieving community-level outcomes while others are not (<xref rid="R4" ref-type="bibr">Allen, Watt, &#x00026; Hess, 2008</xref>; <xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>). In addition to councils being internally complicated, they are working to affect change in complex systems (<xref rid="R50" ref-type="bibr">Roussos &#x00026; Fawcett, 2000</xref>; <xref rid="R53" ref-type="bibr">Snowden &#x00026; Boone, 2007</xref>). Specifically, it is difficult to link FPC activities to change within the food system because change in a complex system takes time, often requires acting on windows of opportunity, involves many actors, and may be counteracted by action in another part of the system (<xref rid="R29" ref-type="bibr">Hammond &#x00026; Dub&#x000e9;, 2012</xref>; <xref rid="R42" ref-type="bibr">Lich, Ginexi, Osgood, &#x00026; Mabry, 2013</xref>). As the Toronto FPC coordinator explained, &#x0201c;Because much of our work is indirect, facilitative, and collaborative, it&#x02019;s difficult to isolate the impacts of our specific efforts&#x0201d; (<xref rid="R43" ref-type="bibr">MacRae, 1994</xref>, p.17). Without evidence about what internal council factors are associated with council effectiveness, however, FPCs may fail to reach their potential to influence the food systems in their communities.</p><p id="P5">In this study, we empirically tested the FPC Framework, which is a model of the key concepts and relationships between them that we hypothesize explain the internal functioning of a FPC. The framework was adapted from a parsimonious community collaborative model that was developed and empirically tested by Allen and colleagues in the context of the system and community response to family violence (<xref rid="R2" ref-type="bibr">Allen, Javdani, Lehrner, &#x00026; Walden, 2012</xref>).</p><sec id="S2"><title>Conceptual framework</title><p id="P6">Numerous articles seek to explain the mechanisms by which public health-oriented community collaboratives affect change (<xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>; <xref rid="R12" ref-type="bibr">Butterfoss, Goodman, &#x00026; Wandersman, 1993</xref>; <xref rid="R13" ref-type="bibr">Butterfoss &#x00026; Kegler, 2009</xref>; <xref rid="R22" ref-type="bibr">Florin, Mitchell, Stevenson, &#x00026; Klein, 2000</xref>; <xref rid="R28" ref-type="bibr">Granner &#x00026; Sharpe, 2004</xref>; Lasker, Weiss, &#x00026; Miller, 2001; <xref rid="R49" ref-type="bibr">Rogers et al., 1993</xref>; <xref rid="R50" ref-type="bibr">Roussos &#x00026; Fawcett, 2000</xref>; <xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>). From these articles, we selected the following 10 modifiable concepts that were applicable to FPCs: leadership, breadth of active membership, inclusivity of council climate, formality of council structure, knowledge, relationships, member empowerment, credibility, synergy, and impact (<xref rid="T1" ref-type="table">Table 1</xref>). The concepts were grouped into the following factors: Organizational Capacity, Social Capital, and Council Effectiveness. The concepts and factors were integrated into the FPC Framework (<xref rid="F1" ref-type="fig">Figure 1</xref>, adapted from <xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>).</p><sec id="S3"><title>Organizational Capacity.</title><p id="P7">Organizational Capacity includes the concepts of leadership, council climate, formality of council structure, and breadth of active membership, which are frequently described as important concepts in community-based collaboratives that may help explain collaboratives&#x02019; effectiveness (<xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>; <xref rid="R21" ref-type="bibr">Florin, Mitchell, &#x00026; Stevenson, 1993</xref>; <xref rid="R28" ref-type="bibr">Granner &#x00026; Sharpe, 2004</xref>; <xref rid="R49" ref-type="bibr">Rogers et al., 1993</xref>; <xref rid="R50" ref-type="bibr">Roussos &#x00026; Fawcett, 2000</xref>; <xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>). Leadership describes the characteristics of those who steer the direction of the council. Leadership skills that are relevant for community coalitions include promoting an egalitarian or democratic environment, engaging participation from all members, valuing diversity, fair conflict management, articulating vision, and commitment to the group (<xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>; <xref rid="R27" ref-type="bibr">Goodman et al., 1998</xref>; <xref rid="R28" ref-type="bibr">Granner &#x00026; Sharpe, 2004</xref>). Inclusivity of council climate refers to group cohesiveness, focus on a mission, shared power and decision-making, and fair disagreement resolution (<xref rid="R22" ref-type="bibr">Florin et al., 2000</xref>; <xref rid="R39" ref-type="bibr">Kegler, Steckler, Mcleroy, &#x00026; Malek, 1998</xref>). Formality of council structure refers to whether there are formal rules and processes guiding how the council operates (<xref rid="R49" ref-type="bibr">Rogers et al., 1993</xref>). Breadth of active membership is perhaps the defining feature of community coalitions that sets them apart from other types of organizations. Aligning diverse perspectives and priorities toward a unified vision develops capacity and collective will within community coalitions to solve complex problems (<xref rid="R12" ref-type="bibr">Butterfoss et al., 1993</xref>; Lasker et al., 2001). Members participate in council discussion and activities in order to gain personal and group benefits, such as social capital and creating change in policies, systems, and environments. Together these concepts encompass Organizational Capacity in this study.</p></sec><sec id="S4"><title>Social Capital.</title><p id="P8">As the council members meet and work together, they can generate perceptions of Social Capital. Social Capital refers to &#x0201c;features of social organization, such as trust, norms, and networks, that can improve the efficiency of society by facilitating coordinated actions&#x0201d; (<xref rid="R47" ref-type="bibr">Putnam, Leonardi, &#x00026; Nanetti, 1993</xref>, p.167). Here, it is conceived of as i) perceived relationships between group members that facilitate trust and group norms; ii) members feeling empowered to advocate for and work towards the mission of their group (<xref rid="R36" ref-type="bibr">Javdani &#x00026; Allen, 2011a</xref>); iii) perceived knowledge sharing between members (<xref rid="R37" ref-type="bibr">Javdani &#x00026; Allen, 2011b</xref>); and iv) developing perceived credibility as a group.</p></sec><sec id="S5"><title>Council Effectiveness.</title><p id="P9">This construct is measured by two indicators in this study. One indicator is a measure of council members&#x02019; perceptions about their councils&#x02019; internal effectiveness, or whether the council generates synergy. The other is a measure of council members&#x02019; perceptions of their councils&#x02019; external effectiveness in impacting a list of policy, systems, and environmental-level (PSE) change in their food system. The list of PSE topics include whether the council has promoted its mission, promoted justice in the food system, increased opportunities to purchase locally produced agricultural products, increased the use of environmentally sustainable farming practices, stimulated economic development in their communities, and other topics. As Social Capital grows within the group, perceived synergy or &#x0201c;the power to combine the perspectives, resources, and skills of a group of people and organizations&#x0201d; (Lasker, Weiss, &#x00026; Miller, 2001, p.183) develops. Synergy allows the council to efficiently pursue PSE initiatives that impact the complex food system in their community. An example PSE initiative is drafting a model zoning policy that allows for farmers&#x02019; markets or community gardens, which can be important sources of fresh produce for low-income residents (<xref rid="R56" ref-type="bibr">Walsh et al., 2015</xref>). PSE initiatives, or changing the context in which people make health-related choices, can impact distal outcomes in the community (<xref rid="R10" ref-type="bibr">Brennan, Castro, Brownson, Claus, &#x00026; Orleans, 2011</xref>; <xref rid="R11" ref-type="bibr">Bunnell et al., 2012</xref>). Distal outcomes include health outcomes associated with increased access to healthy foods, such as reduced food insecurity and obesity rates, or economic outcomes associated with increased sales of local agricultural products.</p></sec><sec id="S6"><title>Community Context.</title><p id="P10">Community Context describes the extent to which a community is supportive of the councils&#x02019; mission and is able to provide resources to facilitate the councils&#x02019; work. Community Context can help or hinder the councils&#x02019; ability to achieve Council Effectiveness, and ultimately effect distal change (<xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>). Champions for change and windows of opportunity are also important external elements that influence collaboratives&#x02019; ability to achieve change (<xref rid="R44" ref-type="bibr">McClintock, Wooten, &#x00026; Brown, 2012</xref>). Within our model, we hypothesized a feedback loop between Council Effectiveness and Social Capital such that Social Capital would increase as the council achieves synergy and impacts their food systems over time (<xref rid="F1" ref-type="fig">Figure 1</xref>).</p><p id="P11">While the components within the FPC Framework appear linear, FPCs may take a circuitous path through these concepts, if they can achieve them at all. The FPC Framework depicts modifiable concepts that are likely to be important factors influencing whether food councils can achieve Council Effectiveness and ultimately distal change. The FPC Framework is not an exhaustive account of every factor that is related to FPC success. We did not include certain contextual concepts, such as stage of council development (<xref rid="R13" ref-type="bibr">Butterfoss &#x00026; Kegler, 2009</xref>), in this model because they are not modifiable.</p></sec></sec></sec><sec id="S7"><title>METHODS</title><p id="P12">Building on the measures Allen and colleagues employed in the study of Family Violence Councils (<xref rid="R2" ref-type="bibr">Allen, Javdani, Lehrner, &#x00026; Walden, 2012</xref>), a Food Policy Council Self-Assessment Tool (FPC-SAT) that asks FPC members&#x02019; about their perceptions of their council was created and validated (<xref rid="R14" ref-type="bibr">Calancie et. al, 2017</xref>). The FPC-SAT was used to collect data in this study.</p><sec id="S8"><title>Data collection</title><p id="P13">Up to two contact persons from each of the 282 councils listed on the 2015 Food Policy Network&#x02019;s (FPN) Online Directory (<xref rid="R24" ref-type="bibr">Food Policy Network, 2015b</xref>) were emailed invitations to participate in the study. The FPN is a project at the Center for a Livable Future at John&#x02019;s Hopkins University. We sent recruitment information in conjunction with the FPN&#x02019;s annual FPC Online Directory update, which was distributed to the FPN&#x02019;s list serve of over 1,000 users. Two reminder emails were sent to FPC contacts. The recruitment information and reminders included information about the study, a link to the online FPC-SAT, and information about the incentive. Individuals could choose to receive $5 if they completed the assessment tool. Councils where eight or more members completed the assessment tool were also given a feedback report that anonymously summarized their council members&#x02019; responses. This provided an incentive for high participation rates within councils and offered the research team an opportunity to share results directly with councils, which is an element of empowerment evaluation (<xref rid="R19" ref-type="bibr">Fetterman, Kaftarian, &#x00026; Wandersman, 1996</xref>). An excerpt from an example feedback report was included in the survey&#x02019;s consent information so that potential participants could see how their responses would be aggregated and presented anonymously on the feedback reports.</p></sec><sec id="S9"><title>Data</title><p id="P14">Concepts that we hypothesize explain FPC function are shown in the FPC Framework (<xref rid="F1" ref-type="fig">Figure 1</xref>). Concepts are measured by scales. The scales are the average of each item in that section of the FPC-SAT. Item responses were on rating scales that ranged from 1 (low) &#x02013; 4 (high). This study focused on evaluating FPC members&#x02019; perceptions of the internal processes of FPCs (<xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>) and their perceptions of the impact their council has on a list of food-related issues.</p></sec><sec id="S10"><title>Statistical analysis</title><p id="P15">We calculated descriptive statistics for participants and their councils, conducted a factor analysis, and used structural equation modeling (SEM) to test the relationships between concepts in the FPC Framework (<xref rid="F1" ref-type="fig">Figure 1</xref>). SEM allows us to test a parsimonious framework explaining FPC function. This is accomplished by comparing the covariance structures of the scales collected with the FPC-SAT with the covariance structures implied by the framework (<xref rid="R40" ref-type="bibr">Kline, 2011</xref>). SEM provides estimates of the direct and indirect relationships represented in a model and provides estimates of error variation.</p><p id="P16">Statistics were calculated using STATA 14.0 (<xref rid="R54" ref-type="bibr">StataCorp, 2015</xref>). Maximum likelihood with missing values (MLMV) was used to estimate the SEMs. Maximum likelihood estimation is robust to modestly non-normal data and is the most commonly used estimation technique in SEM (<xref rid="R40" ref-type="bibr">Kline, 2011</xref>). Our data are nested because 240 (68%) participants shared membership in a council with at least one other participant. Therefore our sample is not independent, which is an assumption of maximum likelihood estimation. To address this issue, we used a bootstrapping technique that accounted for the clustering of FPC members within councils (<xref rid="R5" ref-type="bibr">Bentler, 1994</xref>). The bootstrapping technique conducted 100 replications of SEM estimation with replacement such that replication samples always contained members from each of the 94 FPCs in our sample. This approach yielded standard errors that are more accurate than those produced without accounting for the nested structure of our data.</p><p id="P17">The scales for synergy and impact were transformed to range from 1 &#x02013; 5 for the SEMs, factor analysis, and scale correlations. We transformed the data by multiplying it by a constant (5/4). We did this because there was not enough variability in the two observed variables to estimate the parameters for the Council Effectiveness concept when the response options ranged from 1 &#x02013; 4 (i.e., the SEMs would not converge).</p><p id="P18">Modification indices and model fit statistics were used to assess how well the FPC Framework fit the data we collected. Modification indices show how a model&#x02019;s &#x003c7;<sup>2</sup> would change if the model was changed. We examined modification indices but only made the changes suggested by the indices if there was a conceptual rational for doing so (<xref rid="R40" ref-type="bibr">Kline, 2011</xref>). The following model fit indices are reported in this study: p-value, &#x003c7;<sup>2</sup>, root mean squared error of approximation (RMSEA), p-close, comparative fit index (CFI), and the goodness of fit index (GFI) (<xref rid="R34" ref-type="bibr">Hu &#x00026; Bentler, 1999</xref>). While each model fit index is calculate using a different formula, they all provide information about whether the covariance structure implied by the model is similar to the covariance structure in the population, which is estimated from the sample (<xref rid="R55" ref-type="bibr">Stata Press, 2015</xref>). Reporting multiple model fit indices provides a comprehensive evaluation of model fit.</p><p id="P19">A moderation analysis was conducted to determine whether community context influenced the relationships within the FPC Framework. We used the group option during model estimation to distinguish participant responses into two groups, those who responded yes or no to the following question: &#x0201c;Our council regularly experiences barriers when trying to influence food policy.&#x0201d; The models were estimated using robust cluster estimation to account for non-independence between members of the same council.</p><p id="P20">We tested several alternative model specifications to determine if they fit the data as well or better than the model specified by the final FPC Framework. We assigned each of the concepts (or observed variables) a random number and grouped the first 4 concepts together, the next 3 concepts together, and the last 2 concepts together and specified the same pattern of relationships as the final SEM we tested. Model fit was estimated as described above. This process was repeated 3 times. This approach tested whether the model fit for our Framework is better than a randomly specified model with the same data, and thus provides insight into the robustness of our findings.</p></sec></sec><sec id="S11"><title>RESULTS</title><sec id="S12"><title>Participants and measurements</title><p id="P21">Three hundred and fifty-four FPC members from 95 councils across the US, Canada, and Tribal &#x00026; First Nations reported their perceptions of their councils on the FPC-SAT. <xref rid="T2" ref-type="table">Table 2</xref> shows the characteristics of the members and the councils. FPC members and leaders responded similarly to the FPC-SAT questions (<xref rid="R14" ref-type="bibr">Calancie et al., 2017</xref>). Three-quarters of the sample was female and most participants were white. The most frequently reported sector was non-profit (36%) followed by agriculture (20%). The least frequently cited was faith (2%), conservation (4%), and healthcare (5%). Other categories that participants entered included cooperative extension, retired, food processing, nutrition education, landscaping, food retail, and transportation. Eighty-three percent of the sample reported being a member of their council for more than one year. Most FPCs were located in the US (88%). Eight or more council members from 20 FPCs completed the assessment. Those 20 councils received a tailored feedback report that summarized their council members&#x02019; anonymous responses on the FPC-SAT scales.</p><p id="P22">Descriptive statistics for the FPC-SAT scales are shown in <xref rid="SD1" ref-type="supplementary-material">Supplemental table 1</xref>. Cronbach alphas ranged from 0.79 &#x02013; 0.93, indicating high covariance among scale items (<xref rid="R46" ref-type="bibr">Nunnally, 1978</xref>). The interclass correlations (ICCs) ranged from 0.04 &#x02013; 0.31, and were highest for inclusiveness of council climate (0.31) and breadth of active membership (0.28). This indicates that council membership explains some of the variability in these scales (<xref rid="R7" ref-type="bibr">Bliese, 1998</xref>). Council membership is less influential on members&#x02019; perceptions of the other scales. The moderate ICCs for most variables justify the use of bootstrapping to accommodate clustered data. <xref rid="SD1" ref-type="supplementary-material">Supplemental table 2</xref> shows the correlations between FPC-SAT scales. Most scales are significantly correlated (p=0.001) with a Bonferroni correction, which is to be expected since the scales measure distinct yet highly related aspects of FPC function. A factor analysis with 310 participants who were not missing scale averages indicated that the scales grouped together as hypothesized in the FPC Framework (<xref rid="SD1" ref-type="supplementary-material">Supplemental table 3</xref>).</p></sec><sec id="S13"><title>Model results</title><p id="P23">We used structural equation modeling (SEM) to test whether the hypothesized conceptual model shown in <xref rid="F1" ref-type="fig">Figure 1</xref> is a good fit with the data. <xref rid="F2" ref-type="fig">Figure 2</xref> shows the SEM notation used to test the hypothesized conceptual model (Model 1). The rectangles are measured (or observed) variables, which are the FPC-SAT item averages for each concept. The numeric labels inside the rectangles are the scale mean and standard error. The small circles in the model show standardized error variances. The ovals are latent variables, which are similar to factors in a factor analysis. Latent variables are not measured. The arrows between measured variables and the latent variables are analogous to a confirmatory factor analysis. The numeric labels on these arrows indicate standardized factor loadings, or the correlation between the measured variable and its latent variable, and the arrows show relationships between latent variables. The numeric labels are analogous to standardized regression coefficients. In this study, using latent variables allows us to condense the information we gathered from the scales and accurately test specific relationships between three latent variables, rather than testing relationships between all ten measured scales using path analysis.</p><p id="P24">The path coefficients between latent variables in Model 1 were all significant with p-values &#x02264;0.001 (<xref rid="F2" ref-type="fig">Figure 2</xref>). According to Model 1, a one standard deviation (SD) change in Organizational Capacity would produce a 0.66 SD change in Social Capital, accounting for all the relationships in the model. A one SD change in Social Capital would produce a 0.74 SD change in Council Effectiveness. Thus, Social Capital mediates the relationship between Organizational Capacity and Council Effectiveness because Organizational Capacity significantly influences Social Capital, which in turn significantly influences Effectiveness. The standardized factor loadings that comprise the measurement part of the SEM indicate that the correlation between scales and their underlying factors ranges from 0.62&#x02013;0.89. Therefore, between 38&#x02013;79% (i.e., the standardized factor loadings squared) of the variation in the FPC-SAT scales is associated with their corresponding latent variable (<xref rid="F2" ref-type="fig">Figure 2</xref>). The scales with the weakest association with its latent factor were credibility (0.62) and structure (0.62). Unlike the structure items, the credibility items were conceptually difficult to answer since they asked participants about their perceptions of their communities&#x02019; perceptions of their council. About 50% of respondents selected &#x0201c;unsure&#x0201d; or did not complete the credibility items. These observations indicate that the credibility items may not be accurate measures. The model fit indices show that the covariance structures implied by Model 1 are significantly different from the covariance structures in the data (&#x003c7;<sup>2</sup>=115.648, <italic>df</italic>=33, <italic>p</italic>-value&#x0003c;0.001, CFI=0.944, TLI=0.924, RMSEA=0.084, <italic>p-</italic>close&#x0003c;0.001). <xref rid="T3" ref-type="table">Table 3</xref> shows all model fit statistics and commonly used cut-off values to assess model fit (<xref rid="R34" ref-type="bibr">Hu &#x00026; Bentler, 1999</xref>). We made minor modifications to Model 1 and tested those models with our data.</p><p id="P25">We developed a second and third model to explain FPC function post hoc using modification indices and our knowledge of FPCs. Modification indices and <xref rid="SD1" ref-type="supplementary-material">Supplemental table 2</xref> show high correlations between scales that compose Organizational Capacity and Council Effectiveness. Therefore, we added a direct path between those latent variables (Model 2). In Model 2, Social Capital partially mediates the relationship between Organizational Capacity and Council Effectiveness; the direct relationship between those variables is also significant (<xref rid="F3" ref-type="fig">Figure 3</xref>). All relationships in this model are significant with p-values &#x0003c;0.001. Model 2 suggests that a one SD increase in Organizational Capacity would produce a 0.60 SD increase in Social Capital and a 0.47 SD increase in Council Effectiveness, while a one SD increase in Social Capital would produce a 0.40 SD increase in Council Effectiveness. Model fit indices show that Model 2 is a better fit with the data (&#x003c7;<sup>2</sup>=76.018, <italic>df</italic>=32, <italic>p</italic>-value=&#x0003c;0.001, CFI=0.970, TLI=0.958, RMSEA=0.062, <italic>p-</italic>close=0.123).</p><p id="P26">The third and final model includes the direct path between Organizational Capacity and Council Effectiveness as in Model 2, but with the credibility scale removed from Social Capital. As noted above, the credibility items may be poor measures of the concept. Also, credibility is rarely cited as an important concept for coalition success, unlike the other concepts measured in the FPC-SAT (<xref rid="R28" ref-type="bibr">Granner &#x00026; Sharpe, 2004</xref>; <xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>). All relationships in this model are significant with p-values &#x0003c;0.001. Model 3 suggests that a one SD increase in Organizational Capacity would produce a 0.56 SD increase in Social Capital and a 0.50 SD increase in Council Effectiveness, while a one SD increase in Social Capital would produce a 0.37 SD increase in Council Effectiveness. The model fit indices for Model 3 show a very good fit between the data and the model (&#x003c7;<sup>2</sup>=40.085, <italic>df</italic>=24, <italic>p</italic>-value=0.021, CFI=0.988, TLI=0.982, RMSEA=0.044, <italic>p-</italic>close=0.650).</p><p id="P27">The moderation analysis was conducted with model 3. One hundred and sixty-three (46%) participants reported that their council regularly experiences barriers when trying to influence food policy and 57 (16%) reported that their council does <italic>not</italic> regularly experience barriers. Thirty-eight percent of participants did not respond to that question, or said &#x0201c;unsure.&#x0201d; Among those participants who reported that their council regularly experiences barriers, the model suggests that a one SD increase in Organizational Capacity would produce a 0.49 SD increase in Social Capital and a 0.37 SD increase in Council Effectiveness, while a one SD increase in Social Capital would produce a 0.43 SD increase in Council Effectiveness. Among those who reported that their council did <italic>not</italic> regularly experience barriers, the model suggests that a one SD increase in Organizational Capacity would produce a 0.55 SD increase in Social Capital and a 0.71 SD increase in Council Effectiveness, while a one SD increase in Social Capital would produce a 0.17 SD increase in Council Effectiveness. The relationship between Social Capital and Council Effectiveness was not statistically significant among this group (p=0.297). Moderation analysis results should be interpreted with caution however, since the sample size for each group was relatively small (n&#x0003c;200) (<xref rid="R40" ref-type="bibr">Kline, 2011</xref>).</p><p id="P28">The alternative models that we tested using randomly selected concept groupings did not converge (i.e., none of the three models could be estimated). This finding indicates that our good model fit is probably not attributable to chance. Additionally, this finding reinforces the factor analysis results: while the concepts measured in this study are correlated, certain concepts are more strongly correlated than others and these concepts form distinct groups.</p><p id="P29">We developed a revised conceptual model that corresponds to Model 3 and incorporated the moderation analysis findings (<xref rid="F5" ref-type="fig">Figure 5</xref>). The model depicts relationships between council members&#x02019; perceptions of Organizational Capacity concepts (leadership, inclusive council climate, formality of council structure, and breadth of active membership), Social Capital concepts (knowledge, relationships, and members empowerment), and Council Effectiveness concepts (synergy, and impact). Line thickness corresponds with empirical findings about relationship strength. A change in Organizational Capacity is associated with larger changes in Council Effectiveness and Social Capital than a change in Social Capital and corresponding changes in Council Effectiveness. We could not test whether synergy and perceived impact were associated with distal outcomes in the community. That relationship has a dashed arrow indicating that the relationship is hypothesized, but not tested in this study. We show a more specific moderation effect of community context in this figure compared to the original FPC framework. Our results indicated that the relationship between Social Capital and Council Effectiveness is the only relationship in this framework that is significantly moderated by community context.</p></sec></sec><sec id="S14"><title>DISCUSSION</title><p id="P30">To our knowledge, this is the first study to test a framework depicting members&#x02019; perceptions of how FPCs function. The FPC framework can help guide capacity building for FPCs, and the researchers and practitioners who work with them. It also provides insight into the mechanism by which FPCs may achieve distal, community-level outcomes. Our results show that interventions aiming to strengthen FPCs should be directed toward increasing Organizational Capacity components (leadership, breadth of active membership, inclusivity of council climate, and formality of council structure) since they may increase Council Effectiveness more than efforts directed at increasing Social Capital. Moreover, efforts to increase Organizational Capacity are likely to increase Social Capital. This study provides support for the generalizability of Allen and colleagues&#x02019; parsimonious model explaining how community collaborations can achieve institutionalized change (<xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>).</p><p id="P31">The concepts that were measured in this study are modifiable and thus could be targeted through capacity building interventions. For example, Florin and colleagues conducted a capacity building intervention that improved the confidence of community groups, including coalitions, to address tobacco control efforts across Rhode Island (<xref rid="R20" ref-type="bibr">Florin et al., 2006</xref>). In another study, coalitions randomly assigned to receive an internal capacity building intervention demonstrated more effective prevention plans, plan implementation, and meetings than those that did not receive the intervention (<xref rid="R48" ref-type="bibr">Riggs, Nakawatase, &#x00026; Pentz, 2008</xref>). A recent case study found that a technical assistance and training intervention with community coalitions improved internal coalition processes and strategic planning, and was associated with increased community-level changes at the end of the intervention (<xref rid="R38" ref-type="bibr">Keene Woods, Watson-Thompson, Schober, Markt, &#x00026; Fawcett, 2014</xref>). The Interactive Systems Framework is an approach to identify and implement innovations that could improve organizational capacity within FPCs and other collaboratives (<xref rid="R57" ref-type="bibr">Wandersman et al., 2008</xref>). The revised FPC framework and FPC-SAT can help FPCs identify what internal components are important targets for capacity building in their specific council.</p><p id="P32">We conducted a multisite, theory-driven evaluation of FPC members&#x02019; perceptions of their councils with a large sample of FPC members from across the US, Canada, and Tribal &#x00026; First Nations. This study addresses the numerous reports calling for more evaluation of FPCs (<xref rid="R30" ref-type="bibr">Harper et al., 2009</xref>; <xref rid="R51" ref-type="bibr">Scherb et al., 2012</xref>; <xref rid="R52" ref-type="bibr">Schiff, 2008</xref>). Evaluation informs best practices and can also make FPCs more attractive to funders. A study examining challenges related to FPC evaluation found the following barriers: a negative perception of evaluation held by council members; a lack of consensus about how to evaluate FPCs; insufficient evaluation capacity within FPCs; and an &#x0201c;inadequate appreciation of increasing accountability pressures&#x0201d; (<xref rid="R58" ref-type="bibr">Webb et al., 1998</xref>, p.65). We addressed several of those barriers in this study. Those who hold a negative perception of evaluation may not have participated in our study. However, hundreds of FPC members completed the FPC-SAT, and eight or more members from 20 councils valued the evaluation process enough to complete the FPC-SAT in order to receive a tailored feedback summary for their council. To help build consensus about how to evaluate FPCs, we developed the evaluation questions on the FPC-SAT with significant input from FPC members, leaders, researchers, and practitioners who work with councils (<xref rid="R14" ref-type="bibr">Calancie et al., 2017</xref>). Moreover, the evaluation questions were adapted from empirically tested measures (<xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>) and informed by a review of the community coalition literature. The evaluation was led by academics with evaluation expertise; internal FPC evaluation capacity was not required. The resulting framework can guide evaluation activities in FPCs that may have limited capacity to develop an evaluation process from scratch. Finally, although we did not address council members&#x02019; appreciation for accountability from various stakeholders, our study did provide tools and guidance to help those who are striving to elucidate the connections between their councils&#x02019; internal processes and potential impact on their communities.</p><p id="P33">Additional research is needed about the potential drawbacks of FPCs. Some studies suggest that while community coalitions typically aim to include a broad group of community organizations and representatives, they can may actually consolidate power within a small group of participants and reinforce existing power dynamics within communities (<xref rid="R16" ref-type="bibr">Chavis, 2001</xref>; <xref rid="R33" ref-type="bibr">Himmelman, 2001</xref>). In this study, we found that fewer participants completed questions about fair resolution of conflicts than other questions about leadership. This could be an indication that some council members do not feel comfortable voicing leadership style concerns, perhaps due to power relations within the group or within the community. Furthermore, a network analysis examining changes within a network of organizations that address food security in their community found significant centralization within the network over time as an FPC formed (<xref rid="R25" ref-type="bibr">Freedman &#x00026; Bess, 2011</xref>). While the number of relationships between organizational partners within the networks increased, the relationships did not develop evenly across partners; they increased more among a few key partners (<xref rid="R25" ref-type="bibr">Freedman &#x00026; Bess, 2011</xref>). Increased centralization within a network of organizations could lead to greater efficiency in completing tasks, but it could also &#x0201c;challenge shared decision-making and accountability, and put at risk the commitment and participation of peripheral members&#x0201d; (<xref rid="R25" ref-type="bibr">Freedman &#x00026; Bess, 2011</xref>, p. 407). Researchers should examine the extent to which FPCs foster collaborative empowerment, which emphasizes &#x0201c;community organizing, grassroots leadership development, and increasing the ownership and power of those primarily affected by the coalition&#x02019;s activities&#x0201d; (<xref rid="R33" ref-type="bibr">Himmelman, 2001</xref>, p.282). Research is needed to understand whether FPCs are reinforcing existing conflicts within communities that stem from unequal distribution of power, or if councils are serving as arenas to transform those conflicts to enable community capacity buildings by empowering otherwise marginalized groups (<xref rid="R16" ref-type="bibr">Chavis, 2001</xref>). Indeed, studies have shown that community councils have the potential to influence the organizational contexts of participating organizations (<xref rid="R3" ref-type="bibr">Allen et al., 2013</xref>), which could in-turn influence community power dynamics (<xref rid="R33" ref-type="bibr">Himmelman, 2001</xref>). This research should be conducted to avoid unintended negative consequences of promoting FPCs in communities.</p><p id="P34">Our use of SEM is a strength of this study. SEM and path analysis are rarely used to test proposed mechanisms for coalition effectiveness; multivariate analysis and covariance descriptions are more common (<xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>). Studies that use these methods group the coalition factors in different arrangements, making it challenging to compare mechanisms across studies. However, some studies have tested similar mechanisms explaining community coalition effectiveness (<xref rid="R1" ref-type="bibr">Alexander, Christianson, Hearld, Hurley, &#x00026; Scanlon, 2010</xref>; <xref rid="R17" ref-type="bibr">Crowley, Yu, &#x00026; Kaftarian, 2000</xref>). Crowley and colleagues used structural equation modeling to test relationships between collaboratives&#x02019; organizational practices and impacts and found that their hypothesized models were a good fit for the data over three years (<xref rid="R17" ref-type="bibr">Crowley et al., 2000</xref>). They also found evidence that the relationships between coalition activities and impact may not be linear overtime, and factors such as organizational capacity and partnerships will not necessarily result in healthier communities. Contextual factors and a limited ability to quantify coalition impacts might explain this finding, as well as the potential delay between coalition activities and their impact. Our moderation analysis showed that community context influenced the relationship between Social Capital and Council Effectiveness such that the relationship between those variables was not significant among those who did not regularly experience barriers when trying to influence policy. Perhaps having a council in place is sufficient to influence policy in those communities, independent of the amount of Social Capital generated within those councils. Among members who reported that their councils regularly experience barriers, Social Capital is more strongly associated with Council Effectiveness. We also hope to examine the relationship between concepts displayed in the FPC framework, community context, and distal, community-level outcomes over time in future research.</p><p id="P35">As with all research, there were limitations to this study. First, there may have been selection bias because participants choose whether or not to complete the FPC-SAT. It is likely that council members who have a positive view of their council, or of evaluation and research in general, would be more motivated to complete the FPC-SAT than those who hold negative views of their council because they knew that council coordinators will receive de-identified feedback summaries. The feedback report incentive is likely to attract councils that are cohesive and are interested in receiving feedback about their council. Another limitation in this study is that we asked individual participants for their perceptions of their council. We did not collect objective measures of council characteristics or function at the council level, such as observations of FPC meetings or document review (<xref rid="R32" ref-type="bibr">Hawe &#x00026; Stickney, 1997</xref>). Also, while we had sufficient power to test model fit with our full sample, our moderation analysis should be interpreted with caution due to the relatively small sample size in each of the two groups. Finally, though data-informed model respecification and post hoc analysis are common practices in SEM, ideally each respecified model should be tested with new data (<xref rid="R8" ref-type="bibr">Bollen, 1998</xref>; <xref rid="R40" ref-type="bibr">Kline, 2011</xref>). Future research should validate the revised FPC Framework with an independent sample of FPCs or other similar community coalitions.</p><p id="P36">Several important lessons emerged from this study. We found that members from 32% of FPCs listed in the 2015 Online Directory were willing to complete the FPC-SAT. Additional recruitment activities might have improved our response rate. A shorter survey may have increased the response rate as well. Our results indicate that FPCs can be evaluated similarly to other community coalitions; factors that are associated with community coalition effectiveness apply to FPCs. Future research should consider how to best measure and evaluate the impact that FPCs have on community-level outcomes, such as access to healthy foods, economic growth, and natural resource stewardship.</p></sec><sec id="S15"><title>CONCLUSION</title><p id="P37">FPCs have enormous potential to bring together a variety of viewpoints and skillsets to influence food systems. From production to distribution, consumption, and disposal, food influences the health, economic viability, political stability, and ecological vitality of communities to nations. The framework tested in this study can help FPCs realize their potential in promoting food system change that equitably improves lives today and in the future. Our results indicate that increasing FPC members&#x02019; perceptions of Organizational Capacity is associated with increasing Social Capital, synergy, and perceived impact on the food system. Councils may consider using the FPC-SAT and the revised FPC framework to identify specific areas that could be improved in their FPCs. Once specific areas for improvements are identified, councils can seek technical assistance, resources, or other approaches to increase their capacity to affect change in their food systems and improve community-level public health outcomes.</p><p id="P38">Elements of the food system and their effects on the public&#x02019;s health are often considered in isolation. The Institute of Medicine suggests examining the food system and its health implications using a systems approach (<xref rid="R45" ref-type="bibr">Nesheim, Oria, &#x00026; Yih, 2015</xref>). Their approach encourages collaboration-building and integrating information from a variety of sectors. Effective FPCs offer a platform to engage and empower representatives from across the food system to better understand their food system, and take coordinated action to promote health, natural resource stewardship, economic vitality, and equity in communities.</p></sec><sec sec-type="supplementary-material" id="SM1"><title>Supplementary Material</title><supplementary-material content-type="local-data" id="SD1"><label>Supp TableS1-3</label><media xlink:href="NIHMS918833-supplement-Supp_TableS1-3.docx" orientation="portrait" id="d37e741" position="anchor"/></supplementary-material></sec></body><back><ack id="S16"><title>ACKNOWLEDGEMENTS</title><p id="P39">We would like to thank the Centers for Disease Control and Prevention&#x02019;s Nutrition and Obesity Policy Research and Evaluation Network (NOPREN) for their support (3-U48-DP001944-05S1). The project described was also supported by the National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, through Grant Award Number UL1TR001111. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. This work was conducted at the Center for Health Promotion and Disease Prevention at the University of North at Chapel Hill, a Prevention Research Center (5U48DP001944).</p></ack><ref-list><title>REFERENCES</title><ref id="R1"><mixed-citation publication-type="journal"><name><surname>Alexander</surname><given-names>JA</given-names></name>, <name><surname>Christianson</surname><given-names>JB</given-names></name>, <name><surname>Hearld</surname><given-names>LR</given-names></name>, <name><surname>Hurley</surname><given-names>R</given-names></name>, &#x00026; <name><surname>Scanlon</surname><given-names>DP</given-names></name> (<year>2010</year>). <article-title>Challenges of capacity building in multisector community health alliances. Health Education &#x00026;</article-title>
<source>Behavior</source>, <volume>37</volume>(<issue>5</issue>), <fpage>645</fpage>&#x02013;<lpage>664</lpage>.</mixed-citation></ref><ref id="R2"><mixed-citation publication-type="journal"><name><surname>Allen</surname><given-names>NE</given-names></name>, <name><surname>Javdani</surname><given-names>S</given-names></name>, <name><surname>Lehrner</surname><given-names>AL</given-names></name>, &#x00026; <name><surname>Walden</surname><given-names>AL</given-names></name> (<year>2012</year>). <article-title>&#x0201c;Changing the Text&#x0201d;: Modeling Council Capacity to Produce Institutionalized Change</article-title>. <source>American Journal of Community Psychology</source>, <volume>49</volume>(<issue>3&#x02013;4</issue>), <fpage>317</fpage>&#x02013;<lpage>331</lpage>.<pub-id pub-id-type="pmid">21842302</pub-id></mixed-citation></ref><ref id="R3"><mixed-citation publication-type="journal"><name><surname>Allen</surname><given-names>NE</given-names></name>, <name><surname>Todd</surname><given-names>NR</given-names></name>, <name><surname>Anderson</surname><given-names>CJ</given-names></name>, <name><surname>Davis</surname><given-names>SM</given-names></name>, <name><surname>Javdani</surname><given-names>S</given-names></name>, <name><surname>Bruehler</surname><given-names>V</given-names></name>, &#x00026; <name><surname>Dorsey</surname><given-names>H</given-names></name> (<year>2013</year>). <article-title>Council-Based Approaches to Intimate Partner Violence: Evidence for Distal Change in the System Response</article-title>. <source>American Journal of Community Psychology</source>, <volume>52</volume>(<issue>1&#x02013;2</issue>), <fpage>1</fpage>&#x02013;<lpage>12</lpage>.<pub-id pub-id-type="pmid">23494267</pub-id></mixed-citation></ref><ref id="R4"><mixed-citation publication-type="journal"><name><surname>Allen</surname><given-names>NE</given-names></name>, <name><surname>Watt</surname><given-names>KA</given-names></name>, &#x00026; <name><surname>Hess</surname><given-names>JZ</given-names></name> (<year>2008</year>). <article-title>A qualitative study of the activities and outcomes of domestic violence coordinating councils</article-title>. <source>American Journal of Community Psychology</source>, <volume>41</volume>(<issue>1&#x02013;2</issue>), <fpage>63</fpage>&#x02013;<lpage>73</lpage>.<pub-id pub-id-type="pmid">18193351</pub-id></mixed-citation></ref><ref id="R5"><mixed-citation publication-type="journal"><name><surname>Bentler</surname><given-names>PM</given-names></name> (<year>1994</year>). <article-title>Corrections to test statistics and standard errors in covariance structure analysis</article-title>. <source>Latent Variables Analysis: Applications for Developmental Research</source>.</mixed-citation></ref><ref id="R6"><mixed-citation publication-type="journal"><name><surname>Berkowitz</surname><given-names>B</given-names></name> (<year>2001</year>). <article-title>Studying the outcomes of community-based coalitions</article-title>. <source>American Journal of Community Psychology</source>, <volume>29</volume>(<issue>2</issue>), <fpage>213</fpage>&#x02013;<lpage>227</lpage>.<pub-id pub-id-type="pmid">11446278</pub-id></mixed-citation></ref><ref id="R7"><mixed-citation publication-type="journal"><name><surname>Bliese</surname><given-names>PD</given-names></name> (<year>1998</year>). <article-title>Group size, ICC values, and group-level correlations: A simulation</article-title>. <source>Organizational Research Methods</source>, <volume>1</volume>(<issue>4</issue>), <fpage>355</fpage>&#x02013;<lpage>373</lpage>.</mixed-citation></ref><ref id="R8"><mixed-citation publication-type="book"><name><surname>Bollen</surname><given-names>KA</given-names></name> (<year>1998</year>). <source>Structural equation models</source>. <publisher-name>Wiley Online Library</publisher-name>.</mixed-citation></ref><ref id="R9"><mixed-citation publication-type="confproc"><name><surname>Borron</surname><given-names>SM</given-names></name> (<year>2003</year>). <source>Food policy councils: Practice and possibility</source>. <conf-name>Congressional Hunger Center Hunger-Free Community Report</conf-name>
<conf-loc>Eugene, Oregon</conf-loc> Retrieved from <comment><ext-link ext-link-type="uri" xlink:href="http://hungercenter.wpengine.netdna-cdn.com/wp-content/uploads/2011/07/Food-Policy-Councils-Borron.pdf">http://hungercenter.wpengine.netdna-cdn.com/wp-content/uploads/2011/07/Food-Policy-Councils-Borron.pdf</ext-link></comment></mixed-citation></ref><ref id="R10"><mixed-citation publication-type="journal"><name><surname>Brennan</surname><given-names>L</given-names></name>, <name><surname>Castro</surname><given-names>S</given-names></name>, <name><surname>Brownson</surname><given-names>RC</given-names></name>, <name><surname>Claus</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Orleans</surname><given-names>CT</given-names></name> (<year>2011</year>). <article-title>Accelerating evidence reviews and broadening evidence standards to identify effective, promising, and emerging policy and environmental strategies for prevention of childhood obesity</article-title>. <source>Annual Review of Public Health</source>, <volume>32</volume>, <fpage>199</fpage>&#x02013;<lpage>223</lpage>.</mixed-citation></ref><ref id="R11"><mixed-citation publication-type="journal"><name><surname>Bunnell</surname><given-names>R</given-names></name>, <name><surname>O&#x02019;Neil</surname><given-names>D</given-names></name>, <name><surname>Soler</surname><given-names>R</given-names></name>, <name><surname>Payne</surname><given-names>R</given-names></name>, <name><surname>Giles</surname><given-names>WH</given-names></name>, <name><surname>Collins</surname><given-names>J</given-names></name>, &#x02026; others. (<year>2012</year>). <article-title>Fifty communities putting prevention to work: accelerating chronic disease prevention through policy, systems and environmental change</article-title>. <source>Journal of Community Health</source>, <volume>37</volume>(<issue>5</issue>), <fpage>1081</fpage>&#x02013;<lpage>1090</lpage>.<pub-id pub-id-type="pmid">22323099</pub-id></mixed-citation></ref><ref id="R12"><mixed-citation publication-type="journal"><name><surname>Butterfoss</surname><given-names>FD</given-names></name>, <name><surname>Goodman</surname><given-names>RM</given-names></name>, &#x00026; <name><surname>Wandersman</surname><given-names>A</given-names></name> (<year>1993</year>). <article-title>Community coalitions for prevention and health promotion</article-title>. <source>Health Education Research</source>, <volume>8</volume>(<issue>3</issue>), <fpage>315</fpage>&#x02013;<lpage>330</lpage>.<pub-id pub-id-type="pmid">10146473</pub-id></mixed-citation></ref><ref id="R13"><mixed-citation publication-type="book"><name><surname>Butterfoss</surname><given-names>F</given-names></name>, &#x00026; <name><surname>Kegler</surname><given-names>M</given-names></name> (<year>2009</year>). <chapter-title>The community coalition action theory</chapter-title> In <source>Emerging theories in health promotion practice and research</source> (<edition>2nd ed.</edition>). <publisher-name>John Wiley &#x00026; Sons</publisher-name>.</mixed-citation></ref><ref id="R14"><mixed-citation publication-type="journal"><name><surname>Calancie</surname><given-names>L</given-names></name>, <name><surname>Allen</surname><given-names>NE</given-names></name>, <name><surname>Weiner</surname><given-names>BJ</given-names></name>, <name><surname>Ng</surname><given-names>SW</given-names></name>, <name><surname>Ward</surname><given-names>DS</given-names></name>, &#x00026; <name><surname>Ammerman</surname><given-names>A</given-names></name> (<year>2017</year>). <article-title>Food Policy Council Self-Assessment Tool: Development, Testing, and Results</article-title>. <source>Preventing chronic disease</source>, <volume>14</volume>.</mixed-citation></ref><ref id="R15"><mixed-citation publication-type="book"><collab>Centers for Disease Control and Prevention</collab>. (<year>2011</year>). <source>Strategies to Prevent Obesity and Other Chronic Diseases: The CDC Guide to Strategies to Increase the Consumption of Fruits and Vegetables</source>. <publisher-loc>Atlanta: U.S</publisher-loc>
<publisher-name>Department of Health and Human Services</publisher-name> Retrieved from <comment><ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/obesity/downloads/fandv_2011_web_tag508.pdf">http://www.cdc.gov/obesity/downloads/fandv_2011_web_tag508.pdf</ext-link></comment></mixed-citation></ref><ref id="R16"><mixed-citation publication-type="journal"><name><surname>Chavis</surname><given-names>DM</given-names></name> (<year>2001</year>). <article-title>The paradoxes and promise of community coalitions</article-title>. <source>American Journal of Community Psychology</source>, <volume>29</volume>(<issue>2</issue>), <fpage>309</fpage>&#x02013;<lpage>320</lpage>.<pub-id pub-id-type="pmid">11446286</pub-id></mixed-citation></ref><ref id="R17"><mixed-citation publication-type="journal"><name><surname>Crowley</surname><given-names>KM</given-names></name>, <name><surname>Yu</surname><given-names>P</given-names></name>, &#x00026; <name><surname>Kaftarian</surname><given-names>SJ</given-names></name> (<year>2000</year>). <article-title>Prevention actions and activities make a difference: a structural equation model of coalition building</article-title>. <source>Evaluation and Program Planning</source>, <volume>23</volume>(<issue>3</issue>), <fpage>381</fpage>&#x02013;<lpage>388</lpage>.</mixed-citation></ref><ref id="R18"><mixed-citation publication-type="confproc"><name><surname>Dahlberg</surname><given-names>K</given-names></name> (<year>1994</year>). <source>Food Policy Councils: The experience of five cities and one county</source>. In <conf-name>Joint Meeting of the Agriculture Food and Human Values Society and the Association for the Study of Food and Society</conf-name>, <conf-loc>Tucson, AZ</conf-loc> Retrieved from <comment><ext-link ext-link-type="uri" xlink:href="http://www.jhsph.edu.libproxy.lib.unc.edu/research/centers-and-institutes/johns-hopkins-center-for-alivablefuture/_pdf/projects/FPN/academic_literature/FOOD_POLICY_COUNCILS_THE_EXPERIENCE_OF_FIVE_CITIES_AND_ONE_COUNTY.pdf">http://www.jhsph.edu.libproxy.lib.unc.edu/research/centers-and-institutes/johns-hopkins-center-for-alivablefuture/_pdf/projects/FPN/academic_literature/FOOD_POLICY_COUNCILS_THE_EXPERIENCE_OF_FIVE_CITIES_AND_ONE_COUNTY.pdf</ext-link></comment></mixed-citation></ref><ref id="R19"><mixed-citation publication-type="book"><name><surname>Fetterman</surname><given-names>DM</given-names></name>, <name><surname>Kaftarian</surname><given-names>SJ</given-names></name>, &#x00026; <name><surname>Wandersman</surname><given-names>A</given-names></name> (<year>1996</year>). <source>Empowerment evaluation: Knowledge and tools for self-assessment and accountability</source>. <publisher-name>Sage</publisher-name>.</mixed-citation></ref><ref id="R20"><mixed-citation publication-type="journal"><name><surname>Florin</surname><given-names>P</given-names></name>, <name><surname>Celebucki</surname><given-names>C</given-names></name>, <name><surname>Stevenson</surname><given-names>J</given-names></name>, <name><surname>Mena</surname><given-names>J</given-names></name>, <name><surname>Salago</surname><given-names>D</given-names></name>, <name><surname>White</surname><given-names>A</given-names></name>, &#x02026; <name><surname>Dougal</surname><given-names>M</given-names></name> (<year>2006</year>). <article-title>Cultivating Systemic Capacity: The Rhode Island Tobacco Control Enhancement Project</article-title>. <source>American Journal of Community Psychology</source>, <volume>38</volume>(<issue>3&#x02013;4</issue>), <fpage>213</fpage>&#x02013;<lpage>220</lpage>.<pub-id pub-id-type="pmid">16983512</pub-id></mixed-citation></ref><ref id="R21"><mixed-citation publication-type="journal"><name><surname>Florin</surname><given-names>P</given-names></name>, <name><surname>Mitchell</surname><given-names>R</given-names></name>, &#x00026; <name><surname>Stevenson</surname><given-names>J</given-names></name> (<year>1993</year>). <article-title>Identifying training and technical assistance needs in community coalitions: a developmental approach</article-title>. <source>Health Education Research</source>, <volume>8</volume>(<issue>3</issue>), <fpage>417</fpage>&#x02013;<lpage>432</lpage>.<pub-id pub-id-type="pmid">10146478</pub-id></mixed-citation></ref><ref id="R22"><mixed-citation publication-type="journal"><name><surname>Florin</surname><given-names>P</given-names></name>, <name><surname>Mitchell</surname><given-names>R</given-names></name>, <name><surname>Stevenson</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Klein</surname><given-names>I</given-names></name> (<year>2000</year>). <article-title>Predicting intermediate outcomes for prevention coalitions: a developmental perspective</article-title>. <source>Evaluation and Program Planning</source>, <volume>23</volume>(<issue>3</issue>), <fpage>341</fpage>&#x02013;<lpage>346</lpage>.</mixed-citation></ref><ref id="R23"><mixed-citation publication-type="confproc"><collab>Food Policy Network</collab>. (<year>2015a</year>, <month>11</month>). <source>Food Policy Councils in North America</source>. <conf-name>Presented at the APHA Annual Meeting</conf-name> Retrieved from <comment><ext-link ext-link-type="uri" xlink:href="https://assets.jhsph.edu/clf/mod_clfResource/doc/FPC_Trends_Slides_2015_10_28.pdf">https://assets.jhsph.edu/clf/mod_clfResource/doc/FPC_Trends_Slides_2015_10_28.pdf</ext-link></comment></mixed-citation></ref><ref id="R24"><mixed-citation publication-type="web"><collab>Food Policy Network</collab>. (<year>2015b</year>). <source>Food Policy Council Directory</source>. <date-in-citation>Retrieved January 5, 2016</date-in-citation>, from <comment><ext-link ext-link-type="uri" xlink:href="http://www.jhsph.edu/research/centers-and-institutes/johns-hopkins-center-for-a-livable-future/projects/FPN/directory/online/">http://www.jhsph.edu/research/centers-and-institutes/johns-hopkins-center-for-a-livable-future/projects/FPN/directory/online/</ext-link></comment></mixed-citation></ref><ref id="R25"><mixed-citation publication-type="journal"><name><surname>Freedman</surname><given-names>DA</given-names></name>, &#x00026; <name><surname>Bess</surname><given-names>KD</given-names></name> (<year>2011</year>). <article-title>Food systems change and the environment: Local and global connections</article-title>. <source>American Journal of Community Psychology</source>, <volume>47</volume>(<issue>3&#x02013;4</issue>), <fpage>397</fpage>&#x02013;<lpage>409</lpage>.<pub-id pub-id-type="pmid">21207132</pub-id></mixed-citation></ref><ref id="R26"><mixed-citation publication-type="journal"><name><surname>Frieden</surname><given-names>TR</given-names></name> (<year>2010</year>). <article-title>A framework for public health action: the health impact pyramid</article-title>. <source>American Journal of Public Health</source>, <volume>100</volume>(<issue>4</issue>), <fpage>590</fpage>&#x02013;<lpage>595</lpage>.<pub-id pub-id-type="pmid">20167880</pub-id></mixed-citation></ref><ref id="R27"><mixed-citation publication-type="journal"><name><surname>Goodman</surname><given-names>RM</given-names></name>, <name><surname>Speers</surname><given-names>MA</given-names></name>, <name><surname>Mcleroy</surname><given-names>K</given-names></name>, <name><surname>Fawcett</surname><given-names>S</given-names></name>, <name><surname>Kegler</surname><given-names>M</given-names></name>, <name><surname>Parker</surname><given-names>E</given-names></name>, &#x02026; <name><surname>Wallerstein</surname><given-names>N</given-names></name> (<year>1998</year>). <article-title>Identifying and Defining the Dimensions of Community Capacity to Provide a Basis for Measurement</article-title>. <source>Health Education &#x00026; Behavior</source>, <volume>25</volume>(<issue>3</issue>), <fpage>258</fpage>&#x02013;<lpage>278</lpage>.<pub-id pub-id-type="pmid">9615238</pub-id></mixed-citation></ref><ref id="R28"><mixed-citation publication-type="journal"><name><surname>Granner</surname><given-names>ML</given-names></name>, &#x00026; <name><surname>Sharpe</surname><given-names>PA</given-names></name> (<year>2004</year>). <article-title>Evaluating community coalition characteristics and functioning: a summary of measurement tools</article-title>. <source>Health Education Research</source>, <volume>19</volume>(<issue>5</issue>), <fpage>514</fpage>&#x02013;<lpage>532</lpage>.<pub-id pub-id-type="pmid">15150134</pub-id></mixed-citation></ref><ref id="R29"><mixed-citation publication-type="journal"><name><surname>Hammond</surname><given-names>RA</given-names></name>, &#x00026; <name><surname>Dub&#x000e9;</surname><given-names>L</given-names></name> (<year>2012</year>). <article-title>A systems science perspective and transdisciplinary models for food and nutrition security</article-title>. <source>Proceedings of the National Academy of Sciences</source>, <volume>109</volume>(<issue>31</issue>), <fpage>12356</fpage>&#x02013;<lpage>12363</lpage>.</mixed-citation></ref><ref id="R30"><mixed-citation publication-type="journal"><name><surname>Harper</surname><given-names>A</given-names></name>, <name><surname>Shattuck</surname><given-names>A</given-names></name>, <name><surname>Holt-Gim&#x000e9;nez</surname><given-names>E</given-names></name>, <name><surname>Alkon</surname><given-names>A</given-names></name>, &#x00026; <name><surname>Lambrick</surname><given-names>F</given-names></name> (<year>2009</year>). <article-title>Food policy councils: Lessons learned</article-title>. <source>Institute for Food and Development Policy</source>, <fpage>1</fpage>&#x02013;<lpage>63</lpage>.</mixed-citation></ref><ref id="R31"><mixed-citation publication-type="journal"><name><surname>Hassanein</surname><given-names>N</given-names></name> (<year>2003</year>). <article-title>Practicing food democracy: a pragmatic politics of transformation</article-title>. <source>Journal of Rural Studies</source>, <volume>19</volume>(<issue>1</issue>), <fpage>77</fpage>&#x02013;<lpage>86</lpage>.</mixed-citation></ref><ref id="R32"><mixed-citation publication-type="journal"><name><surname>Hawe</surname><given-names>P</given-names></name>, &#x00026; <name><surname>Stickney</surname><given-names>EK</given-names></name> (<year>1997</year>). <article-title>Developing the effectiveness of an intersectoral food policy coalition through formative evaluation</article-title>. <source>Health Education Research</source>, <volume>12</volume>(<issue>2</issue>), <fpage>213</fpage>&#x02013;<lpage>225</lpage>.<pub-id pub-id-type="pmid">10184720</pub-id></mixed-citation></ref><ref id="R33"><mixed-citation publication-type="journal"><name><surname>Himmelman</surname><given-names>AT</given-names></name> (<year>2001</year>). <article-title>On coalitions and the transformation of power relations: Collaborative betterment and collaborative empowerment</article-title>. <source>American Journal of Community Psychology</source>, <volume>29</volume>(<issue>2</issue>), <fpage>277</fpage>&#x02013;<lpage>284</lpage>.<pub-id pub-id-type="pmid">11446282</pub-id></mixed-citation></ref><ref id="R34"><mixed-citation publication-type="journal"><name><surname>Hu</surname><given-names>L</given-names></name>, &#x00026; <name><surname>Bentler</surname><given-names>PM</given-names></name> (<year>1999</year>). <article-title>Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives</article-title>. <source>Structural Equation Modeling: A Multidisciplinary Journal</source>, <volume>6</volume>(<issue>1</issue>), <fpage>1</fpage>&#x02013;<lpage>55</lpage>.</mixed-citation></ref><ref id="R35"><mixed-citation publication-type="journal"><name><surname>Huang</surname><given-names>TT</given-names></name>, <name><surname>Cawley</surname><given-names>JH</given-names></name>, <name><surname>Ashe</surname><given-names>M</given-names></name>, <name><surname>Costa</surname><given-names>SA</given-names></name>, <name><surname>Frerichs</surname><given-names>LM</given-names></name>, <name><surname>Zwicker</surname><given-names>L</given-names></name>, ... &#x00026; <name><surname>Kumanyika</surname><given-names>SK</given-names></name> (<year>2015</year>). <article-title>Mobilisation of public support for policy actions to prevent obesity</article-title>. <source>The Lancet</source>, <volume>385</volume>(<issue>9985</issue>), <fpage>2422</fpage>&#x02013;<lpage>2431</lpage>.</mixed-citation></ref><ref id="R36"><mixed-citation publication-type="journal"><name><surname>Javdani</surname><given-names>S</given-names></name>, &#x00026; <name><surname>Allen</surname><given-names>NE</given-names></name> (<year>2011a</year>). <article-title>Councils as Empowering Contexts: Mobilizing the Front Line to Foster Systems Change in the Response to Intimate Partner Violence</article-title>. <source>American Journal of Community Psychology</source>, <volume>48</volume>(<issue>3&#x02013;4</issue>), <fpage>208</fpage>&#x02013;<lpage>221</lpage>.<pub-id pub-id-type="pmid">21104433</pub-id></mixed-citation></ref><ref id="R37"><mixed-citation publication-type="journal"><name><surname>Javdani</surname><given-names>S</given-names></name>, &#x00026; <name><surname>Allen</surname><given-names>NE</given-names></name> (<year>2011b</year>). <article-title>Proximal outcomes matter: A multilevel examination of the processes by which coordinating councils produce change</article-title>. <source>American Journal of Community Psychology</source>, <volume>47</volume>(<issue>1&#x02013;2</issue>), <fpage>12</fpage>&#x02013;<lpage>27</lpage>.<pub-id pub-id-type="pmid">21052823</pub-id></mixed-citation></ref><ref id="R38"><mixed-citation publication-type="journal"><name><surname>Keene Woods</surname><given-names>N</given-names></name>, <name><surname>Watson-Thompson</surname><given-names>J</given-names></name>, <name><surname>Schober</surname><given-names>DJ</given-names></name>, <name><surname>Markt</surname><given-names>B</given-names></name>, &#x00026; <name><surname>Fawcett</surname><given-names>S</given-names></name> (<year>2014</year>). <article-title>An Empirical Case Study of the Effects of Training and Technical Assistance on Community Coalition Functioning and Sustainability</article-title>. <source>Health Promotion Practice</source>, <volume>15</volume>(<issue>5</issue>), <fpage>739</fpage>&#x02013;<lpage>749</lpage>.<pub-id pub-id-type="pmid">24662898</pub-id></mixed-citation></ref><ref id="R39"><mixed-citation publication-type="journal"><name><surname>Kegler</surname><given-names>MC</given-names></name>, <name><surname>Steckler</surname><given-names>A</given-names></name>, <name><surname>Mcleroy</surname><given-names>K</given-names></name>, &#x00026; <name><surname>Malek</surname><given-names>SH</given-names></name> (<year>1998</year>). <article-title>Factors That Contribute to Effective Community Health Promotion Coalitions: A Study of 10 Project ASSIST Coalitions in North Carolina</article-title>. <source>Health Education &#x00026; Behavior</source>, <volume>25</volume>(<issue>3</issue>), <fpage>338</fpage>&#x02013;<lpage>353</lpage>.<pub-id pub-id-type="pmid">9615243</pub-id></mixed-citation></ref><ref id="R40"><mixed-citation publication-type="book"><name><surname>Kline</surname><given-names>RB</given-names></name> (<year>2011</year>). <source>Principles and practice of structural equation modeling</source>. <publisher-name>Guilford press</publisher-name>.</mixed-citation></ref><ref id="R41"><mixed-citation publication-type="journal"><name><surname>Lasker</surname><given-names>RD</given-names></name>, <name><surname>Weiss</surname><given-names>ES</given-names></name>, &#x00026; <name><surname>Miller</surname><given-names>R</given-names></name> (<year>2001a</year>). <article-title>Partnership Synergy: A Practical Framework for Studying and Strengthening the Collaborative Advantage</article-title>. <source>Milbank Quarterly</source>, <volume>79</volume>(<issue>2</issue>), <fpage>179</fpage>&#x02013;<lpage>205</lpage>.<pub-id pub-id-type="pmid">11439464</pub-id></mixed-citation></ref><ref id="R42"><mixed-citation publication-type="journal"><name><surname>Lich</surname><given-names>KH</given-names></name>, <name><surname>Ginexi</surname><given-names>EM</given-names></name>, <name><surname>Osgood</surname><given-names>ND</given-names></name>, &#x00026; <name><surname>Mabry</surname><given-names>PL</given-names></name> (<year>2013</year>). <article-title>A Call to Address Complexity in Prevention Science Research</article-title>. <source>Prevention Science</source>, <volume>14</volume>(<issue>3</issue>), <fpage>279</fpage>&#x02013;<lpage>289</lpage>.<pub-id pub-id-type="pmid">22983746</pub-id></mixed-citation></ref><ref id="R43"><mixed-citation publication-type="journal"><name><surname>MacRae</surname><given-names>R</given-names></name> (<year>1994</year>). <article-title>So why is the City of Toronto concerned about food and agriculture policy? A short history of the Toronto Food Policy Council</article-title>. <source>Culture &#x00026; Agriculture</source>, <volume>15</volume>(<issue>50</issue>), <fpage>15</fpage>&#x02013;<lpage>18</lpage>.</mixed-citation></ref><ref id="R44"><mixed-citation publication-type="journal"><name><surname>McClintock</surname><given-names>N</given-names></name>, <name><surname>Wooten</surname><given-names>H</given-names></name>, &#x00026; <name><surname>Brown</surname><given-names>AH</given-names></name> (<year>2012</year>). <article-title>Toward a food policy &#x0201c;first step&#x0201d; in Oakland, California: a food policy council&#x02019;s efforts to promote urban agriculture zoning</article-title>. <source>Journal of Agriculture, Food Systems, and Community Development</source>, <volume>2</volume>(<issue>4</issue>).</mixed-citation></ref><ref id="R45"><mixed-citation publication-type="book"><name><surname>Nesheim</surname><given-names>MC</given-names></name>, <name><surname>Oria</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Yih</surname><given-names>PT</given-names></name> (<year>2015</year>). <source>A framework for assessing effects of the food system</source>. <publisher-name>National Academies Press</publisher-name>.</mixed-citation></ref><ref id="R46"><mixed-citation publication-type="book"><name><surname>Nunnally</surname><given-names>J</given-names></name> (<year>1978</year>). <source>Psychometric methods</source>. <publisher-loc>New York</publisher-loc>: <publisher-name>McGraw</publisher-name>.</mixed-citation></ref><ref id="R47"><mixed-citation publication-type="book"><name><surname>Putnam</surname><given-names>RD</given-names></name>, <name><surname>Leonardi</surname><given-names>R</given-names></name>, &#x00026; <name><surname>Nanetti</surname><given-names>R</given-names></name> (<year>1993</year>). <source>Making Democracy Work: Civic Traditions in Modern Italy</source>. <publisher-loc>Princeton</publisher-loc>: <publisher-name>Princeton University Press</publisher-name>.</mixed-citation></ref><ref id="R48"><mixed-citation publication-type="journal"><name><surname>Riggs</surname><given-names>NR</given-names></name>, <name><surname>Nakawatase</surname><given-names>M</given-names></name>, &#x00026; <name><surname>Pentz</surname><given-names>MA</given-names></name> (<year>2008</year>). <article-title>Promoting Community Coalition Functioning: Effects of Project STEP</article-title>. <source>Prevention Science</source>, <volume>9</volume>(<issue>2</issue>), <fpage>63</fpage>&#x02013;<lpage>72</lpage>.<pub-id pub-id-type="pmid">18483859</pub-id></mixed-citation></ref><ref id="R49"><mixed-citation publication-type="journal"><name><surname>Rogers</surname><given-names>T</given-names></name>, <name><surname>Howard-Pitney</surname><given-names>B</given-names></name>, <name><surname>C.Feighery</surname><given-names>E</given-names></name>, <name><surname>G.Altman</surname><given-names>D</given-names></name>, <name><surname>M.Endres</surname><given-names>J</given-names></name>, &#x00026; <name><surname>Roeseler</surname><given-names>AG</given-names></name> (<year>1993</year>). <article-title>Characteristics and participant perceptions of tobacco control coalitions in California</article-title>. <source>Health Education Research</source>, <volume>8</volume>(<issue>3</issue>), <fpage>345</fpage>&#x02013;<lpage>357</lpage>.</mixed-citation></ref><ref id="R50"><mixed-citation publication-type="journal"><name><surname>Roussos</surname><given-names>ST</given-names></name>, &#x00026; <name><surname>Fawcett</surname><given-names>SB</given-names></name> (<year>2000</year>). <article-title>A Review of Collaborative Partnerships as a Strategy for Improving Community Health</article-title>. <source>Annual Review of Public Health</source>, <volume>21</volume>(<issue>1</issue>), <fpage>369</fpage>&#x02013;<lpage>402</lpage>.</mixed-citation></ref><ref id="R51"><mixed-citation publication-type="journal"><name><surname>Scherb</surname><given-names>A</given-names></name>, <name><surname>Palmer</surname><given-names>A</given-names></name>, <name><surname>Frattaroli</surname><given-names>S</given-names></name>, &#x00026; <name><surname>Pollack</surname><given-names>K</given-names></name> (<year>2012</year>). <article-title>Exploring food system policy: A survey of food policy councils in the United States</article-title>. <source>Journal of Agriculture, Food Systems, and Community Development</source>, <fpage>1</fpage>&#x02013;<lpage>12</lpage>.</mixed-citation></ref><ref id="R52"><mixed-citation publication-type="journal"><name><surname>Schiff</surname><given-names>R</given-names></name> (<year>2008</year>). <article-title>The role of food policy councils in developing sustainable food systems</article-title>. <source>Journal of Hunger &#x00026; Environmental Nutrition</source>, <volume>3</volume>(<issue>2&#x02013;3</issue>), <fpage>206</fpage>&#x02013;<lpage>228</lpage>.</mixed-citation></ref><ref id="R53"><mixed-citation publication-type="journal"><name><surname>Snowden</surname><given-names>DJ</given-names></name>, &#x00026; <name><surname>Boone</surname><given-names>ME</given-names></name> (<year>2007</year>). <article-title>A leader&#x02019;s framework for decision making</article-title>. <source>Harvard Business Review</source>, <volume>85</volume>(<issue>11</issue>), <fpage>68</fpage>.</mixed-citation></ref><ref id="R54"><mixed-citation publication-type="book"><collab>StataCorp</collab>. (<year>2015</year>). <source>Stata Statistical Software (Version Release 14)</source>. <publisher-loc>College Station, TX</publisher-loc>: <publisher-name>StataCorp LP</publisher-name>.</mixed-citation></ref><ref id="R55"><mixed-citation publication-type="book"><collab>Stata Press</collab>. (<year>2015</year>). <source>Structural Equation Modeling Reference Manual</source>. <publisher-name>Stata Press</publisher-name> Retrieved from <comment><ext-link ext-link-type="uri" xlink:href="http://www.stata.com/bookstore/structural-equation-modeling-reference-manual/">http://www.stata.com/bookstore/structural-equation-modeling-reference-manual/</ext-link></comment></mixed-citation></ref><ref id="R56"><mixed-citation publication-type="journal"><name><surname>Walsh</surname><given-names>CC</given-names></name>, <name><surname>Taggart</surname><given-names>M</given-names></name>, <name><surname>Freedman</surname><given-names>DA</given-names></name>, <name><surname>Trapl</surname><given-names>ES</given-names></name>, &#x00026; <name><surname>Borawski</surname><given-names>EA</given-names></name> (<year>2015</year>). <article-title>The Cleveland&#x02013;Cuyahoga County Food Policy Coalition: &#x0201c;We Have Evolved</article-title>.&#x0201d; <source>Preventing Chronic Disease</source>, <volume>12</volume>.</mixed-citation></ref><ref id="R57"><mixed-citation publication-type="journal"><name><surname>Wandersman</surname><given-names>A</given-names></name>, <name><surname>Duffy</surname><given-names>J</given-names></name>, <name><surname>Flaspohler</surname><given-names>P</given-names></name>, <name><surname>Noonan</surname><given-names>R</given-names></name>, <name><surname>Lubell</surname><given-names>K</given-names></name>, <name><surname>Stillman</surname><given-names>L</given-names></name>, &#x02026; <name><surname>Saul</surname><given-names>J</given-names></name> (<year>2008</year>). <article-title>Bridging the Gap Between Prevention Research and Practice: The Interactive Systems Framework for Dissemination and Implementation</article-title>. <source>American Journal of Community Psychology</source>, <volume>41</volume>(<issue>3&#x02013;4</issue>), <fpage>171</fpage>&#x02013;<lpage>181</lpage>.<pub-id pub-id-type="pmid">18302018</pub-id></mixed-citation></ref><ref id="R58"><mixed-citation publication-type="journal"><name><surname>Webb</surname><given-names>KL</given-names></name>, <name><surname>Pelletier</surname><given-names>D</given-names></name>, <name><surname>Maretzki</surname><given-names>AN</given-names></name>, &#x00026; <name><surname>Wilkins</surname><given-names>J</given-names></name> (<year>1998</year>). <article-title>Local food policy coalitions: Evaluation issues as seen by academics, project organizers, and funders</article-title>. <source>Agriculture and Human Values</source>, <volume>15</volume>(<issue>1</issue>), <fpage>65</fpage>&#x02013;<lpage>75</lpage>.</mixed-citation></ref><ref id="R59"><mixed-citation publication-type="journal"><name><surname>Weiner</surname><given-names>BJ</given-names></name>, <name><surname>Alexander</surname><given-names>JA</given-names></name>, &#x00026; <name><surname>Shortell</surname><given-names>SM</given-names></name> (<year>2002</year>). <article-title>Management and governance processes in community health coalitions: a procedural justice perspective</article-title>. <source>Health Education &#x00026; Behavior</source>, <volume>29</volume>(<issue>6</issue>), <fpage>737</fpage>&#x02013;<lpage>754</lpage>.<pub-id pub-id-type="pmid">12462195</pub-id></mixed-citation></ref><ref id="R60"><mixed-citation publication-type="journal"><name><surname>Zakocs</surname><given-names>RC</given-names></name>, &#x00026; <name><surname>Edwards</surname><given-names>EM</given-names></name> (<year>2006</year>). <article-title>What Explains Community Coalition Effectiveness?: A Review of the Literature</article-title>. <source>American Journal of Preventive Medicine</source>, <volume>30</volume>(<issue>4</issue>), <fpage>351</fpage>&#x02013;<lpage>361</lpage>.<pub-id pub-id-type="pmid">16530624</pub-id></mixed-citation></ref></ref-list></back><floats-group><fig id="F1" orientation="portrait" position="float"><label>Figure 1.</label><caption><p id="P40">Food Policy Council Framework adapted from (<xref rid="R2" ref-type="bibr">Allen, Javdani, Lehrner, &#x00026; Walden, 2012</xref>).</p></caption><graphic xlink:href="nihms-918833-f0001"/></fig><fig id="F2" orientation="portrait" position="float"><label>Figure 2.</label><caption><p id="P41">Structural Equation Model 1 testing a hypothesized framework explaining Food Policy Council function. Concepts are measured by the Food Policy Council Self-Assessment Tool (n=354).</p></caption><graphic xlink:href="nihms-918833-f0002"/></fig><fig id="F3" orientation="portrait" position="float"><label>Figure 3.</label><caption><p id="P42">Structural Equation Model 2 testing a revised framework explaining Food Policy Council function. Concepts are measured by the Food Policy Council Self-Assessment Tool (n=354).</p></caption><graphic xlink:href="nihms-918833-f0003"/></fig><fig id="F4" orientation="portrait" position="float"><label>Figure 4.</label><caption><p id="P43">Structural Equation Model 3 testing a final framework explaining Food Policy Council function. Concepts are measured by the Food Policy Council Self-Assessment Tool (n=354).</p></caption><graphic xlink:href="nihms-918833-f0004"/></fig><fig id="F5" orientation="portrait" position="float"><label>Figure 5.</label><caption><p id="P44">Revised Food Policy Council Framework developed through SEM testing, FPC literature, and adapted from Allen (2012).</p></caption><graphic xlink:href="nihms-918833-f0005"/></fig><table-wrap id="T1" position="float" orientation="portrait"><label>Table 1.</label><caption><p id="P45">Food Policy Council Self-Assessment Tool (FPC-SAT) concepts and definitions (<xref rid="R2" ref-type="bibr">Allen et al., 2012</xref>; <xref rid="R13" ref-type="bibr">F. Butterfoss &#x00026; Kegler, 2009</xref>; <xref rid="R27" ref-type="bibr">Goodman et al., 1998</xref>; <xref rid="R28" ref-type="bibr">Granner &#x00026; Sharpe, 2004</xref>; <xref rid="R39" ref-type="bibr">Kegler et al., 1998</xref>; Lasker et al., 2001; <xref rid="R50" ref-type="bibr">Roussos &#x00026; Fawcett, 2000</xref>; <xref rid="R60" ref-type="bibr">Zakocs &#x00026; Edwards, 2006</xref>).</p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1">Concepts</th><th align="center" valign="middle" rowspan="1" colspan="1">Definitions</th></tr></thead><tbody><tr><td colspan="2" align="left" valign="middle" rowspan="1"><italic>Organizational capacity</italic></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Leadership</td><td align="left" valign="middle" rowspan="1" colspan="1">Leaders promote an egalitarian or democratic environment, engaging participation from all members, valuing diversity, fair conflict management, articulating vision, and commitment to the group</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Inclusive council climate</td><td align="left" valign="middle" rowspan="1" colspan="1">Shared power and decision making; shared mission; conflict resolution; sense of cohesion</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Breadth of active membership</td><td align="left" valign="middle" rowspan="1" colspan="1">Range of stakeholders actively participating in council</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Formality of council structure</td><td align="left" valign="middle" rowspan="1" colspan="1">Degree of structure guiding council practices and meetings</td></tr><tr><td colspan="2" align="left" valign="middle" rowspan="1"><italic>Social capital and community context</italic></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Member empowerment</td><td align="left" valign="middle" rowspan="1" colspan="1">Degree to which members perceived being individually empowered to affect change (i.e., to influence policy and practice in their home agencies and in the community) as a result of their participation in the council</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Knowledge</td><td align="left" valign="middle" rowspan="1" colspan="1">Members are exposed to information about the food system and each others&#x02019; activities related to the food system</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Relationships</td><td align="left" valign="middle" rowspan="1" colspan="1">Connections between group members</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Credibility of the council</td><td align="left" valign="middle" rowspan="1" colspan="1">Members&#x02019; perceptions about whether the community views the group as a trustworthy authority on food system related issues</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Community context</td><td align="left" valign="middle" rowspan="1" colspan="1">Members&#x02019; perceptions of community members&#x02019; and decision-makers&#x02019; level of support for groups&#x02019; mission and activities</td></tr><tr><td colspan="2" align="left" valign="middle" rowspan="1"><italic>Council Effectiveness</italic></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Synergy</td><td align="left" valign="middle" rowspan="1" colspan="1">The power to combine perspectives, resources, and skills of groups of people and organizations</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Impact</td><td align="left" valign="middle" rowspan="1" colspan="1">Food council members&#x02019; perceptions of council-level accomplishments, or steps toward achieving the council&#x02019;s goals</td></tr></tbody></table></table-wrap><table-wrap id="T2" position="float" orientation="portrait"><label>Table 2.</label><caption><p id="P46">Participant and council characteristics for Food Policy Council Self-Assessment Tool (FPC-SAT) respondents.</p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1">Participant characteristics (n=354)</th><th align="center" valign="middle" rowspan="1" colspan="1">n (%)</th><th align="center" valign="middle" rowspan="1" colspan="1">Participant characteristics (n=354)</th><th align="center" valign="middle" rowspan="1" colspan="1">n (%)</th></tr></thead><tbody><tr><td align="left" valign="middle" rowspan="1" colspan="1">Age</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Position</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;18&#x02013;35</td><td align="left" valign="middle" rowspan="1" colspan="1">91 (28%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Leader (formal or informal)</td><td align="left" valign="middle" rowspan="1" colspan="1">51 (15%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;35&#x02013;54</td><td align="left" valign="middle" rowspan="1" colspan="1">141 (42%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Administration or staff (Secretary, Treasurer, Coordinator)</td><td align="left" valign="middle" rowspan="1" colspan="1">49 (14%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;55+</td><td align="left" valign="middle" rowspan="1" colspan="1">97 (30%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Chair of a working group or on a steering committee</td><td align="left" valign="middle" rowspan="1" colspan="1">77 (22%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Gender</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Member</td><td align="left" valign="middle" rowspan="1" colspan="1">172 (49%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Male</td><td align="left" valign="middle" rowspan="1" colspan="1">86 (26%)</td><td align="left" valign="middle" rowspan="1" colspan="1">Years as a member</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Female</td><td align="left" valign="middle" rowspan="1" colspan="1">240 (73%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;&#x0003c;1 years</td><td align="left" valign="middle" rowspan="1" colspan="1">59 (17%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Race/ethnicity</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;1 to &#x0003c;3 years</td><td align="left" valign="middle" rowspan="1" colspan="1">122 (34%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;White</td><td align="left" valign="middle" rowspan="1" colspan="1">271 (84%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;3 to &#x0003c;5 years</td><td align="left" valign="middle" rowspan="1" colspan="1">115 (32%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Hispanic</td><td align="left" valign="middle" rowspan="1" colspan="1">18 (6%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;5 to &#x0003c;10 years</td><td align="left" valign="middle" rowspan="1" colspan="1">58 (16%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Black</td><td align="left" valign="middle" rowspan="1" colspan="1">13 (4%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;10+ years</td><td align="left" valign="middle" rowspan="1" colspan="1">5 (1%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;American Indian or Aboriginal</td><td align="left" valign="middle" rowspan="1" colspan="1">4 (1%)</td><td align="left" valign="top" rowspan="1" colspan="1"><bold>General council characteristics (n=94)</bold></td><td align="left" valign="top" rowspan="1" colspan="1"><bold>n (%)</bold></td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Other</td><td align="left" valign="middle" rowspan="1" colspan="1">28 (8%)</td><td align="left" valign="middle" rowspan="1" colspan="1">Average council age in years (range 1&#x02013;34)</td><td align="left" valign="middle" rowspan="1" colspan="1">6.27 (SD=5.10)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">Sector (participants could select more than 1)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1">Country</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Nonprofit</td><td align="left" valign="middle" rowspan="1" colspan="1">129 (36%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;US</td><td align="left" valign="middle" rowspan="1" colspan="1">82 (88%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Agriculture</td><td align="left" valign="middle" rowspan="1" colspan="1">71 (20%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Canada</td><td align="left" valign="middle" rowspan="1" colspan="1">11 (12%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Community member</td><td align="left" valign="middle" rowspan="1" colspan="1">64 (18%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Tribe (US)</td><td align="left" valign="middle" rowspan="1" colspan="1">3 (3%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Education</td><td align="left" valign="middle" rowspan="1" colspan="1">62 (18%)</td><td align="left" valign="middle" rowspan="1" colspan="1">Region</td><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Public health</td><td align="left" valign="middle" rowspan="1" colspan="1">60 (17%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;West</td><td align="left" valign="middle" rowspan="1" colspan="1">29 (32%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Government</td><td align="left" valign="middle" rowspan="1" colspan="1">60 (17%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Midwest</td><td align="left" valign="middle" rowspan="1" colspan="1">16 (17%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Other</td><td align="left" valign="middle" rowspan="1" colspan="1">40 (12%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;South</td><td align="left" valign="middle" rowspan="1" colspan="1">23 (25%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Economic development</td><td align="left" valign="middle" rowspan="1" colspan="1">38 (11%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Northeast</td><td align="left" valign="middle" rowspan="1" colspan="1">12 (13%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Academia</td><td align="left" valign="middle" rowspan="1" colspan="1">31 (9%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;West (Canada)</td><td align="left" valign="middle" rowspan="1" colspan="1">2 (2%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Poverty alleviation</td><td align="left" valign="middle" rowspan="1" colspan="1">26 (7%)</td><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Central (Canada)</td><td align="left" valign="middle" rowspan="1" colspan="1">8 (9%)</td></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Food security</td><td align="left" valign="middle" rowspan="1" colspan="1">26 (7%)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Health care</td><td align="left" valign="middle" rowspan="1" colspan="1">18 (5%)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Conservation</td><td align="left" valign="middle" rowspan="1" colspan="1">13 (4%)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="middle" rowspan="1" colspan="1">&#x02003;Faith</td><td align="left" valign="middle" rowspan="1" colspan="1">7 (2%)</td><td align="left" valign="middle" rowspan="1" colspan="1"/><td align="left" valign="middle" rowspan="1" colspan="1"/></tr></tbody></table></table-wrap><table-wrap id="T3" position="float" orientation="portrait"><label>Table 3.</label><caption><p id="P47">Model fit indices for Models 1&#x02013;3 testing relationships in the Food Policy Council Framework (n=354).</p></caption><table frame="box" rules="all"><colgroup span="1"><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/><col align="left" valign="middle" span="1"/></colgroup><thead><tr><th align="center" valign="middle" rowspan="1" colspan="1">Model</th><th align="center" valign="middle" rowspan="1" colspan="1">&#x003c7;<sup>2</sup></th><th align="center" valign="middle" rowspan="1" colspan="1"><italic>df</italic></th><th align="center" valign="middle" rowspan="1" colspan="1"><italic>p</italic>-value</th><th align="center" valign="middle" rowspan="1" colspan="1">CFI</th><th align="center" valign="middle" rowspan="1" colspan="1">TLI</th><th align="center" valign="middle" rowspan="1" colspan="1">RMSEA</th><th align="center" valign="top" rowspan="1" colspan="1"><italic>p</italic>-close</th></tr></thead><tbody><tr><td align="center" valign="middle" rowspan="1" colspan="1">1</td><td align="center" valign="middle" rowspan="1" colspan="1">115.648</td><td align="center" valign="middle" rowspan="1" colspan="1">33</td><td align="center" valign="middle" rowspan="1" colspan="1">0.000</td><td align="center" valign="middle" rowspan="1" colspan="1">0.944</td><td align="center" valign="middle" rowspan="1" colspan="1">0.924</td><td align="center" valign="middle" rowspan="1" colspan="1">0.084</td><td align="center" valign="top" rowspan="1" colspan="1">0.000</td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1">2</td><td align="center" valign="middle" rowspan="1" colspan="1">76.018</td><td align="center" valign="middle" rowspan="1" colspan="1">32</td><td align="center" valign="middle" rowspan="1" colspan="1">0.000</td><td align="center" valign="middle" rowspan="1" colspan="1">0.970<xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">0.958<xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">0.062</td><td align="center" valign="top" rowspan="1" colspan="1">0.123<xref rid="TFN1" ref-type="table-fn">*</xref></td></tr><tr><td align="center" valign="middle" rowspan="1" colspan="1">3</td><td align="center" valign="middle" rowspan="1" colspan="1">40.085</td><td align="center" valign="middle" rowspan="1" colspan="1">24</td><td align="center" valign="middle" rowspan="1" colspan="1">0.021</td><td align="center" valign="middle" rowspan="1" colspan="1">0.988<xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">0.982<xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="center" valign="middle" rowspan="1" colspan="1">0.044<xref rid="TFN1" ref-type="table-fn">*</xref></td><td align="center" valign="top" rowspan="1" colspan="1">0.650<xref rid="TFN1" ref-type="table-fn">*</xref></td></tr><tr><td colspan="3" align="center" valign="middle" rowspan="1">Cut-off guidelines:</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02265;0.05</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02265;0.95</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02265;0.95</td><td align="center" valign="middle" rowspan="1" colspan="1">&#x02264;0.06</td><td align="center" valign="top" rowspan="1" colspan="1">&#x02265;0.05</td></tr></tbody></table><table-wrap-foot><fn id="TFN1"><label>*</label><p id="P48">Indicates good fit according to cut-off guidelines (<xref rid="R34" ref-type="bibr">Hu &#x00026; Bentler, 1999</xref>).</p></fn></table-wrap-foot></table-wrap></floats-group></article>