Multilevel Measurement of Dimensions of Collaborative Functioning in a Network of Collaboratives that Promote Child and Family Well‐Being
Bibliographic Data
| ID | 11055936 |
|---|---|
| Authors | John P Barile (0000-0003-4098-0640, Department of Psychology Georgia State University Atlanta GA USA, corresponding author), Adam J Darnell (EMSTAR Research, Inc. Atlanta GA USA), Adam Darnell (WellStar Health System), Steve W Erickson (EMSTAR Research, Inc. Atlanta GA USA), Scott R Weaver (0000-0003-3155-4041, Institute of Public Health, Georgia State University Atlanta GA USA) |
| Year | 2012 |
| Volume | 49 |
| Issue | 1-2 |
| Pages | 270-282 |
| Publication date | 2012-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Community Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0091-0562 • E-ISSN: 1573-2770 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1007/s10464-011-9455-9 |
| PMID | 21785885 |
| OpenAlex | W2044258613 |
| Language | EN |
| Citations received | 6 |
| References cited | 43 |
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
Attendance · Health psychology · Machine learning · Multilevel model · Public health · Applied Psychology · Behavioral Health and Interventions · Community Health and Development · Computer Science · Health disparities and outcomes · Medicine · Psychology
An Introduction to Multilevel Modeling Techniques
Multilevel Analysis
An Introduction to Multilevel Modeling Techniques
People are variables too
Evaluating Community-Based Collaborative Mechanisms
Partnership Synergy
A Review of Collaborative Partnerships as a Strategy for Improving Community Health
Community Coalitions for Prevention and Health Promotion
Community coalitions for prevention and health promotion
Making the Most of Collaboration
Cutoff criteria for fit indexes in covariance structure analysis
An Empirical Evaluation of Alternative Methods of Estimation for Confirmatory Factor Analysis With Ordinal Data.
Structural Equations with Latent Variables
Broadening Participation in Community Problem Solving
Profiling Capacity for Coordination and Systems Change
Multilevel Analysis of a Measure of Community Prevention Collaboration
A Practitioner's Guide to Successful Coalitions
The Paradoxes and Promise of Community Coalitions
Community Coalitions as a System
Transforming Mental Health Care for Children and Their Families
Creating Collaborative Advantage
Consequences of violating the independence assumption in analysis of variance
Conceptualizing and Measuring Collaboration
Developmental sequence in small groups
| Citations per year | 0.5 |
|---|---|
| Citation span | 2014 - 2022 (9) |
| Highly cited | No |