ABSTRACT
Evaluating collaboration between community partners presents a series of methodological challenges (Roussos and Fawcett in Annu Rev Public Health 21:369-402, 2000; Yin and Kaftarian 1997), one of which is selection of the appropriate level of analysis. When data are collected from multiple members of multiple settings, multilevel analysis techniques should be used. Multilevel confirmatory factor analysis (MCFA) is an analytic approach that incorporates the advantages of latent variable measurement modeling and multilevel modeling for nested data. This study utilizes MCFA on data obtained from an evaluation survey of collaborative functioning provided to members of 157 community collaboratives in Georgia. This study presents a well-fitting measurement model that includes five dimensions of collaborative functioning, and a structural component with individual- and collaborative-level covariates. Findings suggest that members' role and meeting attendance significantly predicted their assessment of collaboration at the individual level, and that tenure of collaborative leaders predicted the overall functioning of the collaborative at the collaborative level. Dimensionality of collaborative functioning and implications of potentially substantial measurement biases associated with selection of respondents are addressed.
Subject(s)
Communication , Community Networks/organization & administration , Community Networks/statistics & numerical data , Cooperative Behavior , Leadership , Multilevel Analysis/methods , Child , Child Welfare , Family Health , Georgia , Humans , Planning TechniquesABSTRACT
The widespread development of comprehensive community initiatives that aim to improve community health is driven by the need to change the systems charged with delivering the services and creating the policies related to a variety of health outcomes. Georgia's Family Connection initiative is the nation's largest statewide network of community collaboratives for health, with collaboratives operating in 159 counties. Data on community context, collaborative processes, engagement in systems change, and changes in programs and activities implemented, gathered consistently at the collaborative level over 3 years, will be used to answer the following questions. How do community contexts and the structure and processes of collaboratives affect implementation of systems change? How do systems changes affect intermediate outcomes such as the type of programs offered in a community? Longitudinal change in systems change and program implementation is described and significant predictors of between-collaborative variation in longitudinal change for each outcome are identified.
