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Effects of Communities That Care on Prevention Services Systems: Findings From the Community Youth Development Study at 1.5 Years

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Abstract

The Community Youth Development Study (CYDS) is a community-randomized trial of the Communities That Care (CTC) prevention system. Using data from 2001 and 2004 administrations of the Community Key Informant Survey, this study reports changes in three community-level outcomes 1.5 years after implementing CTC in 12 communities. Respondents consisted of 534 community leaders in 24 communities representing multiple sectors within each community. Results of multilevel analyses controlling for respondent and community characteristics indicated that (a) CTC and control communities had comparable baseline levels of adopting a science-based approach to prevention, collaboration across community sectors, and collaboration regarding specific prevention activities; and (b) CTC communities exhibited significantly greater increases in these outcomes between 2001 and 2004 relative to control communities. These results suggest that CTC was successful in changing proximal system outcomes theorized to lead to more effective prevention services and, ultimately, reduced risk, enhanced protection, and improved adolescent health and behavior outcomes.

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Notes

  1. Coding rules for the six stages of Adoption are available from the first author.

  2. Alternatively, we estimated several models fixing σ2 at various plausible values and freely estimating a variance for r 1ij . Results of these models indicated no substantive difference from conclusions drawn using the aforementioned parameterization.

  3. Analysis of the Prevention Collaboration measure was conducted using both regression-estimated and Bartlett factor scores. Results of the two methods revealed no difference in substantive conclusions. Because regression-estimated factor scores have the advantage of being able to model the nine items as ordered categories and account for missing data among the items via maximum likelihood estimation, we presented results based on these scores.

  4. Confirmatory factor analyses of the nine ordinal items and tests of measurement invariance were conducted using Mplus v3.11 via weighted least squares means and variances (WLSMV) estimation and delta parameterization (Muthén & Muthén 2004). Chi-square difference tests employed the DIFFTEST option in Mplus to obtain corrected chi-square values.

References

  • Arthur, M. W., Glaser, R. R., & Hawkins, J. D. (2005). Steps towards community-level resilience: Community adoption of science-based prevention programming. In R. D. V. Peters, B. Leadbeater, & R. J. McMahon (Eds.), Resilience in children, families, and communities: Linking context to practice and policy. (pp. 177–194). New York: Kluwer.

    Chapter  Google Scholar 

  • Bentler, P. M. (1990). Comparative fix indexes in structural models. Psychological Bulletin, 107, 238–246.

    Article  PubMed  CAS  Google Scholar 

  • Berkowitz, B. (2001). Studying the outcomes of community-based coalitions. American Journal of Community Psychology, 29, 213–227.

    Article  PubMed  CAS  Google Scholar 

  • Brown, E. C., Hawkins, J. D., Arthur, M. W., Abbott, R. D., & Van Horn, M. L. (2007). Multilevel analysis of a measure of community prevention collaboration. American Journal of Community Psychology, (in press).

  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.

    Google Scholar 

  • Butterfoss, F. D. (2006). Process evaluation for community participation. Annual Review of Public Health, 27, 323–340.

    Article  PubMed  Google Scholar 

  • Catalano, R. F., & Hawkins, J. D. (1996). The social development model: A theory of antisocial behavior. In J. D. Hawkins (Ed.), Delinquency and crime: Current theories (pp. 149–197). New York: Cambridge University Press.

    Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255.

    Article  Google Scholar 

  • Chinman, M., Hannah, G., Wandersman, A., Ebener, P., Hunter, S. B., Imm, P., et al. (2005). Developing a community science research agenda for building community capacity for effective preventive interventions. American Journal of Community Psychology, 35, 143–157.

    Article  PubMed  Google Scholar 

  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New Jersey: Erlbaum.

    Google Scholar 

  • Ennett, S. T., Ringwalt, C., Thorne, J., Rohrbach, L. A., Vincus, A. A., Simons-Rudolph, A., et al. (2003). A comparison of current practice in school-based substance use prevention programs with meta-analysis findings. Prevention Science, 4, 1–14.

    Article  PubMed  Google Scholar 

  • Fagan, A. A., Hawkins, J. D., & Catalano, R. F. (2007). Using community epidemiologic data to improve social settings: The Communities That Care prevention system. In M. Shinn & H. Yoshikawa (Eds.), Changing schools and community organizations to foster positive youth development. New York: Oxford University Press, (in press).

  • Foster-Fishman, P. G., Berkowitz, S. L., Lounsbury, D. W., Jacobson, S., & Allen, N. A. (2001). Building collaborative capacity in community coalitions: A review and integrative framework. American Journal of Community Psychology, 29, 241–261.

    Article  PubMed  CAS  Google Scholar 

  • Gottfredson, D. C., & Gottfredson, G. D. (2002). Quality of school-based prevention programs: Results from a national survey. Journal of Research in Crime and Delinquency, 39, 3–35.

    Article  Google Scholar 

  • Green, L., Daniel, M., & Novick, L. (2001). Partnerships and coalitions for community-based research. Public Health Reports, 116, 20–31.

    Article  PubMed  Google Scholar 

  • Hallfors, D., & Godette, D. (2002). Will the ‘Principles of Effectiveness’ improve prevention practice? Early findings from a diffusion study. Health Education Research, 17, 461–470.

    Article  PubMed  CAS  Google Scholar 

  • Hawkins, J. D. (2006). Science, social work, prevention: Finding the intersections. Social Work Research, 30, 137–152.

    Google Scholar 

  • Hawkins, J. D., & Catalano, R. F. (2002). Investing in your community’s youth: An introduction to the Communities That Care system. South Deerfield, MA: Channing Bete Company.

    Google Scholar 

  • Hawkins, J. D., & Catalano, R. F. (2003). Community board orientation: Participant’s guide. South Deerfield: MA: Channing Bete.

    Google Scholar 

  • Hawkins, J. D., Catalano, R. F., & Arthur, M. W. (2002). Promoting science-based prevention in communities. Addictive Behaviors, 27, 951–976.

    Article  PubMed  Google Scholar 

  • Hawkins, J. D., & Weis, J. G. (1985). The social development model: An integrated approach to delinquency prevention. Journal of Primary Prevention, 6, 73–97.

    Article  Google Scholar 

  • Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3, 424–453.

    Article  Google Scholar 

  • Jasuja, G. K., Chou, C. P., Berstein, K., Wang, E., McClure, M., & Pentz, M. A. (2005). Using structural characteristics of community coalitions to predict progress in adopting evidence-based prevention programs. Evaluation and Program Planning, 28, 173–184.

    Article  Google Scholar 

  • Klerman, L. V., Santelli, J. S., & Klein, J. D. (2005). So what have we learned? The Editors’ comments on the coalition approach to teen pregnancy. Journal of Adolescent Health, 37, S115–S118.

    Article  PubMed  Google Scholar 

  • Kreuter, M. W., Lezin, N. A., & Young, L. A. (2000). Evaluating community-based collaborative mechanisms: Implications for practitioners. Health Promotion Practice, 1, 49–63.

    Article  Google Scholar 

  • Mitchell, R. E., Florin, P., & Stevenson, J. F. (2002). Supporting community-based prevention and health promotion initiatives: Developing effective technical assistance systems. Health Education & Behavior, 29, 629–639.

    Article  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (2004). Mplus user’s guide (3rd ed.) Los Angeles: Muthén & Muthén.

    Google Scholar 

  • Quinby, R. K., Fagan, A. A., Hanson, K., Brooke-Weiss, B., Arthur, M. W., & Hawkins, J. D. (2007). Installing the Communities That Care prevention system: Implementation progress and fidelity in a randomized controlled trial. Journal of Community Psychology, (in press).

  • Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: Applications and data analysis methods (2nd ed.). Newbury Park, CA: Sage.

    Google Scholar 

  • Raudenbush, S. W., Bryk, A. S., Cheong, Y. F., & Congdon, R. T. (2004). HLM 6: Hierarchical linear and nonlinear modeling. Lincolnwood, IL: Scientific Software International.

    Google Scholar 

  • Raudenbush, S. W., & Xiao Feng, L. (2001). Effects of study duration, frequency of observation, and sample size on power in studies of group differences in polynomial change. Psychological Methods, 6, 387–401.

    Article  PubMed  CAS  Google Scholar 

  • Riggs, N. R., Feinberg, M. E., & Greenberg, M. T. (2002). Community sector and gender differences in the perception of community-based prevention. Journal of Community Psychology, 30, 709–722.

    Article  Google Scholar 

  • Rogers, E. (1995). Diffusion of innovation (4th ed.). New York: Free.

    Google Scholar 

  • Roussos, S. T., & Fawcett, S. B. (2000). A review of collaborative partnerships as a strategy for improving community health. Annual Review of Public Health, 21, 369–402.

    Article  PubMed  CAS  Google Scholar 

  • Shinn, M. (1990). Mixing and matching: Levels of conceptualization, measurement, and statistical analysis in community research. In P. Tolan, C. Keys, F. Chertok, & L. A. Jason (Eds.), Researching community psychology: Issues of theory and methods (pp. 111–126). Washington, DC: American Psychological Association.

    Chapter  Google Scholar 

  • Snijders, T. A. B., & Bosker, R. J. (1999). Multilevel analysis: An introduction to basic and advanced multilevel modeling. Thousand Oaks, CA: Sage.

    Google Scholar 

  • Spoth, R., & Greenberg, M. T. (2005). Toward a comprehensive strategy for effective practitioner-scientist partnerships and larger-scale community health and well-being. American Journal of Community Psychology, 35, 107–126.

    Article  PubMed  Google Scholar 

  • Steiger, J. H., & Lind, J. C. (1980). Statistically based tests for the number of common factors. Presented at the Annual Meeting of the Psychometric Society, Iowa City, IA.

  • Stevenson, J. F., & Mitchell, R. E. (2003). Community-level collaboration for substance abuse prevention. Journal of Primary Prevention, 23, 371–404.

    Article  Google Scholar 

  • Tucker, L. R., & Lewis, C. (1973). A reliability coefficient for maximum likelihood factor analysis. Psychometrika, 38, 1–10.

    Article  Google Scholar 

  • Van Horn, M. L., Hawkins, J. D., Arthur, M. W., & Catalano, R. F. (2007). Assessing community effects on adolescent substance use and delinquency. Journal of Community Psychology, (in press).

  • Wandersman, A. (2003). Community science: Bridging the gap between science and practice with community-centered models. American Journal of Community Psychology, 31, 227–242.

    Article  PubMed  Google Scholar 

  • Wandersman, A., & Florin, P. (2003). Community interventions and effective prevention. American Psychologist, 58, 441–448.

    Article  PubMed  Google Scholar 

  • Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Doctoral dissertation, University of California, Los Angeles.

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Acknowledgement

This research was supported by grants from the National Institute of Mental Health, National Institute on Child Health and Human Development, National Cancer Institute, National Institute on Drug Abuse, and Substance Abuse and Mental Health Services Administration/Center for Substance Abuse Prevention (DA15183). We gratefully acknowledge helpful comments made by Mark E. Feinberg, Mark T. Greenberg, Mary Ann Pentz, Abigail A. Fagan, and Charles B. Fleming to earlier versions of this article, as well as all contributions made to this study by the Community Youth Development Study research team.

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Correspondence to Eric C. Brown.

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Brown, E.C., Hawkins, J.D., Arthur, M.W. et al. Effects of Communities That Care on Prevention Services Systems: Findings From the Community Youth Development Study at 1.5 Years. Prev Sci 8, 180–191 (2007). https://doi.org/10.1007/s11121-007-0068-3

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  • DOI: https://doi.org/10.1007/s11121-007-0068-3

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