nach oben

Prevention Science

Erschienen in:

01.09.2007

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

verfasst von: Eric C. Brown, J. David Hawkins, Michael W. Arthur, John S. Briney, Robert D. Abbott

Erschienen in: Prevention Science | Ausgabe 3/2007

Einloggen, um Zugang zu erhalten

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.

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

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.

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.

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.

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.CrossRef

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

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

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.

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

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.

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

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.PubMedCrossRef

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

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.PubMedCrossRef

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.PubMedCrossRef

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.CrossRef

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

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.PubMedCrossRef

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

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.

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

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

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

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

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.CrossRef

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.PubMedCrossRef

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

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.CrossRef

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

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.

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.

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.PubMedCrossRef

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.CrossRef

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

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.PubMedCrossRef

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.CrossRef

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

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.PubMedCrossRef

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.CrossRef

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

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.PubMedCrossRef

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

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.

Titel: Effects of Communities That Care on Prevention Services Systems: Findings From the Community Youth Development Study at 1.5 Years
verfasst von: Eric C. Brown
J. David Hawkins
Michael W. Arthur
John S. Briney
Robert D. Abbott
Publikationsdatum: 01.09.2007
Verlag: Springer US
Erschienen in: Prevention Science / Ausgabe 3/2007
Print ISSN: 1389-4986
Elektronische ISSN: 1573-6695
DOI: https://doi.org/10.1007/s11121-007-0068-3

Springer Medizin

Abstract

Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten

Weitere Artikel der Ausgabe 3/2007

Mediators of the Development and Prevention of Violent Behavior

Really Underage Drinkers: The Epidemiology of Children’s Alcohol Use in the United States

Community and Team Member Factors that Influence the Operations Phase of Local Prevention Teams: The PROSPER Project

How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory

Mechanisms of Change in a Cognitive Behavioral Couples Prevention Program: Does Being Naughty or Nice Matter?