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When Early Crime Prevention Goes to Scale: A New Look at the Evidence

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Abstract

It is a widely held view—in both research and policy communities—that desirable effects on delinquency and later offending from early prevention trials will attenuate once they are “scaled-up” or “rolled-out” for wider public use. Some of the main reasons for this include a reduced level of risk, a more heterogeneous population, insufficient service infrastructure, and loss of program fidelity. If attenuation of program effects is not only possible but is highly probable, then the issue for researchers and policymakers should be how to preserve or even enhance effects in moving from efficacy trials to community effectiveness trials to broad-scale dissemination. This paper surveys the knowledge base in an effort to contribute to an improved understanding of the theoretical and empirical dimensions for successfully taking early crime prevention programs to scale. It also outlines some proposals for how future research can make progress on this critical policy issue.

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Notes

  1. The targeting ratios for the four programs were estimated using the ratio for graduation incentives as a benchmark. This was done because it was the only program for which the needed information was available. The estimation of the cost of the programs was derived from studies of the programs and a variety of other sources.

  2. A more technical unpublished report by Donohue and Siegelman (1996) also did not provide any more details on the scale-up penalty.

  3. The third step of the model involved an assessment of program costs. Program costs were estimated on the basis of what it would cost the Washington State government to implement a similar program (if the program was not already operating in the state). Both operating and capital costs were included. The fourth step involved monetizing each program’s effects on crime. Savings to the criminal justice system and crime victims (tangible or direct only) were estimated. The final step involved calculating the economic contribution of the programs, expressed as benefit-to-cost ratios. From this, programs could then be judged on their independent and comparative monetary value.

  4. Two steps were used to calculate the range of scale-up discounts. First, Perry’s reported reductions in adult poverty (approximately 20% at age 27 and 25% at age 40) were multiplied by the authors’ estimate that the long-term effects on adult poverty of their program would be about one-third to two-thirds of Perry’s. This resulted in the estimate that their program would achieve a 7–17% reduction (.33 * 20% and .67 * 25%). Second, the authors assumed that about 80% of eligible children would receive their program. This had the effect of lowering their estimated reduction in adult poverty to roughly 5–15% (.8 * 7% and .8 * 17%).

  5. The studies do not distinguish between effectiveness trials and broad-scale dissemination. For example, Aos et al. (1999, 2006), do not discount programs if they were evaluated in a real-world setting.

  6. “Research studies were defined as those in which the treatment, as well as offender intake and progress assessments, were designed and administered by the researcher mainly for research purposes. Demonstration projects included those with treatments that were also administered under research auspices and largely for research purposes, but which involved providers and procedures that were more representative of criminal justice settings. … Practice projects were those implemented by criminal justice agencies as relatively routine practice and evaluated by a researcher who had little or nothing to do with their design and administration” (Lipsey and Landenberger 2006, p. 66).

  7. The overall effect sizes and the differences in effect sizes are considered small, but not trivial. The results of each of these analyses were significant at p < .05, and the 382 studies used in the analyses comprised over 40,000 individual juveniles (Lipsey 1995).

References

  • Aos, S., Barnoski, R., & Lieb, R. (1998). Preventive programs for young offenders: Effective and cost-effective. Overcrowded Times, 9(2), 1–11.

    Google Scholar 

  • Aos, S., Phipps, P., Barnoski, R., & Lieb, R. (1999). The comparative costs and benefits of programs to reduce crime. Olympia: Washington State Institute for Public Policy.

    Google Scholar 

  • Aos, S., Lieb, R., Mayfield, J., Miller, M., & Pennucci, A. (2004). Benefits and costs of prevention and early intervention programs for youth. Olympia: Washington State Institute for Public Policy.

    Google Scholar 

  • Aos, S., Miller, M., & Drake, E. (2006). Evidence-based public policy options to reduce future prison construction, criminal justice costs, and crime rates. Olympia: Washington State Institute for Public Policy.

    Google Scholar 

  • Backer, T. E. (2000). The failures of success: Challenges of disseminating effective substance abuse prevention. Journal of Community Psychology, 28, 363–373.

    Article  Google Scholar 

  • Berk, R. (2008). How you can tell if the simulations in computational criminology are any good. Journal of Experimental Criminology, 4, 289–308.

    Article  Google Scholar 

  • Campbell, F. A., Ramey, C. T., Pungello, E., Sparling, J., & Miller-Johnson, S. (2002). Early childhood education: Young adult outcomes from the Abecedarian Project. Applied Developmental Science, 6, 42–57.

    Article  Google Scholar 

  • Castro, F. G., Barrera, M., & Martinez, C. R. (2004). The cultural adaptation of prevention interventions: Resolving tensions between fidelity and fit. Prevention Science, 5, 41–45.

    Article  PubMed  Google Scholar 

  • Center on the Developing Child at Harvard University. (2007). A science-based framework for early childhood policy. Available at www.developingchild.harvard.edu (retrieved 07/27/08).

  • Clear, T. R. (2007). Imprisoning communities. New York: Oxford University Press.

    Google Scholar 

  • Cullen, F. T., Vose, B. A., Jonson, C. N. L., & Unnever, J. D. (2007). Public support for early intervention: Is child saving a ‘habit of the heart’? Victims and Offenders, 2, 108–124.

    Google Scholar 

  • Dodge, K. A. (2001). The science of youth violence prevention: Progressing from developmental epidemiology to efficacy to effectiveness to public policy. American Journal of Preventive Medicine, 20(1S), 63–70.

    Article  CAS  PubMed  Google Scholar 

  • Donohue, J. J., & Siegelman, P. (1996). Is the United States at the optimal rate of crime? New Haven, CT: Yale Law School. Unpublished report.

    Google Scholar 

  • Donohue, J. J., & Siegelman, P. (1998). Allocating resources among prisons and social programs in the battle against crime. Journal of Legal Studies, 27, 1–43.

    Article  Google Scholar 

  • Duncan, G. J., Ludwig, J., & Magnuson, K. A. (2007). Reducing poverty through preschool interventions. The Future of Children, 17(2), 143–160.

    Article  PubMed  Google Scholar 

  • Eisner, M. (2009). No effects in independent prevention trials: Can we reject the cynical view? Journal of Experimental Criminology, 5, 163–184.

    Article  Google Scholar 

  • Elliott, D. S., & Mihalic, S. F. (2004). Issues in disseminating and replicating effective prevention programs. Prevention Science, 5, 47–52.

    Article  PubMed  Google Scholar 

  • Epstein, J. M. (1999). Agent-based computational models and generative social science. Complexity, 4, 41–57.

    Article  Google Scholar 

  • Farrington, D. P., & Welsh, B. C. (2007). Saving children from a life of crime. New York: Oxford University Press.

    Google Scholar 

  • Flay, B. R. (1986). Efficacy and effectiveness trials (and other phases of research) in the development of health promotion programs. Preventive Medicine, 15, 451–474.

    Article  CAS  PubMed  Google Scholar 

  • Flay, B. R., Biglan, A., Boruch, R. F., Gonzalez-Castro, F., Gottfredson, D. C., Kellam, S., et al. (2005). Standards of evidence: Criteria for efficacy, effectiveness and dissemination. Prevention Science, 6, 151–175.

    Article  PubMed  Google Scholar 

  • Forehand, R., & Kotchick, B. A. (1996). Cultural diversity: A wake-up call for parent training. Behavior Therapy, 27, 187–206.

    Article  Google Scholar 

  • Gilbert, N., & Doran, J. (eds). (1994). Simulating societies. London: University College.

    Google Scholar 

  • Glisson, C. (2007). Assessing and changing organizational culture and climate for effective services. Research on Social Work Practice, 17, 736–747.

    Article  Google Scholar 

  • Greenwood, P. W. (2006). Changing lives. Chicago: University of Chicago Press.

    Google Scholar 

  • Greenwood, P. W., Model, K. E., Rydell, C. P., & Chiesa, J. (1998). Diverting children from a life of crime (2nd ed.). Santa Monica, CA: RAND.

    Google Scholar 

  • Groff, E., & Mazerolle, L. (2008). Simulated experiments and their potential role in criminology and criminal justice. Journal of Experimental Criminology, 4, 187–193.

    Article  Google Scholar 

  • Hawkins, J. D., Catalano, R. F., Kosterman, R., Abbott, R., & Hill, K. G. (1999). Preventing adolescent health-risk behaviors by strengthening protection during childhood. Archives of Pediatrics and Adolescent Medicine, 153, 226–234.

    CAS  PubMed  Google Scholar 

  • Hawkins, J. D., Smith, B. H., Hill, K. G., Kosterman, R., & Catalano, R. F. (2007). Promoting social development and preventing health and behavior problems during the elementary grades: Results from the Seattle Social Development Project. Victims and Offenders, 2, 161–181.

    Article  Google Scholar 

  • Heckman, J. J. (2006). Skill formation and the economics of investing in disadvantaged children. Science, 312, 1900–1902.

    Article  CAS  PubMed  Google Scholar 

  • Karoly, L. A., Greenwood, P. W., Everingham, S. S., Houbé, J., Kilburn, M. R., Rydell, C. P., et al. (1998). Investing in our children. Santa Monica, CA: RAND.

    Google Scholar 

  • Knudsen, E. I., Heckman, J. J., Cameron, J. L., & Shonkoff, J. P. (2006). Economic, neurobiological, and behavior perspectives on building America’s future workforce. Proceedings of the National Academy of Sciences, 103, 10155–10162.

    Article  CAS  Google Scholar 

  • Lally, J. R., Mangione, P. L., & Honig, A. S. (1988). The Syracuse University Family Development Research Program: Long-range impact of an early intervention with low-income children and their families. In D. R. Powell (Ed.), Parent education as early childhood intervention (pp. 79–104). Norwood, NJ: Ablex.

    Google Scholar 

  • Landenberger, N. A., & Lipsey, M. W. (2005). The positive effects of cognitive-behavioral programs for offenders: A meta-analysis of factors associated with effective treatment. Journal of Experimental Criminology, 1, 451–476.

    Article  Google Scholar 

  • Lipsey, M. W. (1995). What do we learn from 400 research studies on the effectiveness of treatment with juvenile delinquents? In J. McGuire (Ed.), What works: Reducing reoffending (pp. 63–78). Chichester, UK: Wiley.

    Google Scholar 

  • Lipsey, M. W. (2003). Those confounded moderators in meta-analysis: Good, bad, and ugly. Annals of the American Academy of Political and Social Science, 587, 69–81.

    Article  Google Scholar 

  • Lipsey, M. W., & Landenberger, N. A. (2006). Cognitive-behavioral interventions. In B. C. Welsh & D. P. Farrington (Eds.), Preventing crime (pp. 57–71). New York: Springer.

    Chapter  Google Scholar 

  • Mason, W. A., Kosterman, R., Hawkins, J. D., Haggerty, K. P., & Spoth, R. L. (2003). Reducing adolescents’ growth in substance use and delinquency: Randomized trial effects of a parent-training prevention-intervention. Prevention Science, 4, 203–212.

    Article  PubMed  Google Scholar 

  • McCord, J., Widom, C. S., & Crowell, N. A. (eds). (2001). Juvenile crime, juvenile justice. Washington, DC: National Academy Press.

    Google Scholar 

  • Nagin, D. S. (2001). Measuring economic benefits of developmental prevention programs. In B. C. Welsh, D. P. Farrington & L. W. Sherman (Eds.), Costs and benefits of preventing crime (pp. 251–268). Boulder, CO: Westview.

    Google Scholar 

  • Nagin, D. S., Piquero, A. R., Scott, E. S., & Steinberg, L. (2006). Public preferences for rehabilitation versus incarceration of juvenile offenders: Evidence from a contingent valuation survey. Criminology and Public Policy, 5, 627–652.

    Article  Google Scholar 

  • Olds, D. L. (2002). Prenatal and infancy home visiting by nurses: From randomized trials to community replication. Prevention Science, 3, 153–172.

    Article  PubMed  Google Scholar 

  • Olds, D. L. (2007). Improving preschool for low-income children with programmatic randomized controlled trials. Archives of Pediatric and Adolescent Medicine, 161, 807–809.

    Article  Google Scholar 

  • Olds, D. L. (2009). In support of disciplined passion. Journal of Experimental Criminology, 5, 201–214.

    Article  Google Scholar 

  • Patterson, G., Chamberlain, P., & Reid, J. B. (1982). A comparative evaluation of a parent training program. Behavior Therapy, 13, 638–650.

    Article  Google Scholar 

  • Petrosino, A., & Soydan, H. (2005). The impact of program developers as evaluators on criminal recidivism: Results from meta-analyses of experimental and quasi-experimental research. Journal of Experimental Criminology, 1, 435–450.

    Article  Google Scholar 

  • Schweinhart, L. J., Barnes, H. V., & Weikart, D. P. (1993). Significant benefits. Ypsilanti, MI: High/Scope.

    Google Scholar 

  • Sherman, L. W., & Strang, H. (2009). Testing for analysts’ bias in crime prevention experiments: Can we accept Eisner’s one-tailed test? Journal of Experimental Criminology, 5, 185–200.

    Article  Google Scholar 

  • Shonkoff, J. P., & Phillips, D. A. (eds). (2000). From neurons to neighborhoods: The science of early childhood development. Washington, DC: National Academy Press.

    Google Scholar 

  • Spoth, R. L., Kavanagh, K., & Dishion, T. J. (2002). Family centered preventive intervention science: Toward benefits to larger populations of children, youth, and families. Prevention Science, 3, 145–152.

    Article  PubMed  Google Scholar 

  • Tonry, M. (2004). Thinking about crime. New York: Oxford University Press.

    Google Scholar 

  • U.S. Department of Health and Human Services. (2001). Youth violence: A report of the Surgeon General. Rockville, MD: Author.

    Google Scholar 

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Acknowledgments

We are grateful to the editor, Jens Ludwig, and the anonymous reviewers for insightful comments.

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Correspondence to Brandon C. Welsh.

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Welsh, B.C., Sullivan, C.J. & Olds, D.L. When Early Crime Prevention Goes to Scale: A New Look at the Evidence. Prev Sci 11, 115–125 (2010). https://doi.org/10.1007/s11121-009-0159-4

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