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, ; Yin and Kaftarian 1997), one of which is selection of the appropriate level of analysis. When data are collected from multiple members of mu...

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Publicado en:American Journal of Community Psychology Vol. 49; no. 1/2; pp. 270 - 283
Autores principales: Barile, John P., Darnell, Adam J., Erickson, Steve W., Weaver, Scott R.
Formato: Artículo
Publicado: Wiley-Blackwell Mar2012
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2012
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      pub: Wiley-Blackwell
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        71284153
        10.1007/s10464-011-9455-9
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        atl: Multilevel Measurement of Dimensions of Collaborative Functioning in a Network of Collaboratives that Promote Child and Family Well-Being.
      aug:
        au:
          Barile, John P.
          Darnell, Adam J.
          Erickson, Steve W.
          Weaver, Scott R.
        affil:
          Department of Psychology, Georgia State University, Atlanta GA, USA
          Division of Adult and Community Health, National Center for Chronic Disease Prevention and Health Promotion, US Centers for Disease Control and Prevention, 4770 Buford Highway, NE, Mailstop K51, 30331-3717, Atlanta GA, USA
          EMSTAR Research, Inc., Atlanta GA, USA
          Institute of Public Health, Georgia State University, Atlanta GA, USA
      su:
        Georgia
        Collective action
        Child welfare
        Coalitions
        Confirmatory factor analysis
        Structural equation modeling
      sug:
        subj:
          Collective action
          Child welfare
          Coalitions
          Confirmatory factor analysis
          Georgia
          Structural equation modeling
      keyword:
        Children
        Collaboration
        Collaborative functioning
        Multilevel measurement
        Children
        Collaboration
        Collaborative functioning
        Multilevel measurement
      ab: Evaluating collaboration between community partners presents a series of methodological challenges (Roussos and Fawcett in Annu Rev Public Health 21:369-402, ; 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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