Multilevel measurement of dimensions of collaborative functioning in a network of collaboratives that promote child and family well-being.

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.

Systems change as an outcome and a process in the work of community collaboratives for health.

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.