Abstract
The past few decades have seen considerable advances in building an evidence base for the effectiveness and cost-benefit of early intervention aimed at crime prevention. While work in building an evidence base for early crime prevention continues, there is a parallel movement toward understanding how to best translate this evidence to the field. This chapter surveys the methods that have been used in early prevention studies, considers some strengths and weaknesses, and identifies areas where further innovation might be most fruitful in generating insight around crime prevention efforts. The first section comprises a brief review of methods that have been most prominent in early prevention studies to date. In that process, we identify examples of particularly innovative studies or programs of research that have affected the knowledge base in prevention as a means of continually tying the methodological approach with the associated substantive conclusions. Following that review, we “look forward” and consider where there are limitations in the evidence base around early intervention and identify ways in which further methodological innovation might help in filling remaining gaps.
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Notes
- 1.
- 2.
Though not directly relevant to this discussion as it is not a study of a “prevention program,” Haviland et al. (2008) have integrated propensity score matching methods with latent class growth analysis in a way that may be useful to prevention researchers.
- 3.
Reynolds and Ou (2011) is another recent example of a study testing hypotheses linking mechanisms and processes with outcomes in the context of an early intervention program.
References
Barker, E. D., Vitaro, F., Lacourse, E., Fontaine, N. M., Carbonneau, R., & Tremblay, R. E. (2010). Testing the developmental distinctiveness of male proactive and reactive aggression with a nested longitudinal experimental intervention. Aggressive Behavior, 36(2), 127–140.
Berk, R. A. (2005). Randomized experiments as the bronze standard. Journal of Experimental Criminology, 1(4), 417–433.
Berk, R., Barnes, G., Ahlman, L., & Kurtz, E. (2010). When second best is good enough: A comparison between a true experiment and a regression discontinuity quasi-experiment. Journal of Experimental Criminology, 6(2), 191–208.
Berkel, C., Mauricio, A. M., Schoenfelder, E., & Sandler, I. N. (2011). Putting the pieces together: An integrated model of program implementation. Prevention Science, 12(1), 23–33.
Bollen, K. A., & Curran, P. J. (2006). Latent curve models: A structural equation perspective. Hoboken, NJ: Wiley.
Braga, A. A., Welsh, B. C., & Bruinsma, G. J. N. (2013). Integrating experimental and observational methods to improve criminology and criminal justice policy. In B. C. Welsh, A. A. Braga, & G. J. N. Bruinsma (Eds.), Experimental criminology: Prospects for advancing science and public policy (pp. 277–297). New York: Cambridge University Press.
Carneiro, P., & Ginja, R. (2012). Long term impacts of compensatory preschool on health and behavior: Evidence from head start. http://www.econstor.eu/bitstream/10419/58441/1/715355791.pdf. Accessed Nov 2013.
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.
Coie, J. D., Watt, N. F., West, S. G., Hawkins, J. D., Asarnow, J. R., Markman, H. J., et al. (1993). The science of prevention: A conceptual framework and some directions for a national research program. American Psychologist, 48(10), 1013–1022.
Cook, T. D. (2008). “Waiting for life to arrive”: A history of the regression-discontinuity design in psychology, statistics and economics. Journal of Econometrics, 142(2), 636–654.
Cook, T. D., & Campbell, D. T. (1979). Quasi-experimentation: Design & analysis issues for field settings. Boston: Houghton Mifflin.
Cunha, F., & Heckman, J. J. (2010). Investing in our young people (No. w16201). National Bureau of Economic Research. http://www.econstor.eu/bitstream/10419/44199/1/631911804.pdf. Accessed Nov 2013.
Drake, E. K., Aos, S., & Miller, M. G. (2009). Evidence-based public policy options to reduce crime and criminal justice costs: Implications in Washington State. Victims and Offenders, 4(2), 170–196.
Ebel, B. E., Rivara, F. P., Loeber, R., & Pardini, D. A. (2011). Modeling the impact of preventive interventions on the national homicide rate. In R. Loeber & D. Farrington (Eds.), Young homicide offenders and victims (pp. 123–135). New York: Springer.
Eckenrode, J., Campa, M., Luckey, D. W., Henderson, C. R, Jr., Cole, R., Kitzman, H., et al. (2010). Long-term effects of prenatal and infancy nurse home visitation on the life course of youths: 19-year follow-up of a randomized trial. Archives of Pediatrics and Adolescent Medicine, 164(1), 9–15.
Eisner, M., Nagin, D., Ribeaud, D., & Malti, T. (2012). Effects of a universal parenting program for highly adherent parents: A propensity score matching approach. Prevention Science, 13(3), 252–266.
Elliott, D. S., & Mihalic, S. (2004). Issues in disseminating and replicating effective prevention programs. Prevention Science, 5(1), 47–52.
Fagan, A. A., Hanson, K., Hawkins, J. D., & Arthur, M. W. (2008). Bridging science to practice: Achieving prevention program implementation fidelity in the Community Youth Development Study. American Journal of Community Psychology, 41(3–4), 235–249.
Fagan, A. A., Arthur, M. W., Hanson, K., Briney, J. S., & Hawkins, J. D. (2011). Effects of Communities That Care on the adoption and implementation of evidence-based prevention programs in communities: Results from a randomized controlled trial. Prevention Science, 12(3), 223–234.
Farrington, D. P. (1983). Randomized experiments on crime and justice. In M. Tonry (Ed.), Crime and justice: A review of research (Vol. 4, pp. 257–308). Chicago: University of Chicago Press.
Farrington, D. P. (2003). Methodological quality standards for evaluation research. The Annals of the American Academy of Political and Social Science, 587(1), 49–68.
Farrington, D. P. (2013). Longitudinal and experimental research in criminology. In M. Tonry (Ed.), Crime and justice: A review of research (Vol. 42, pp. 453–527). Chicago: University of Chicago Press.
Farrington, D. P., & Welsh, B. C. (2006). A half-century of randomized experiments on crime and justice. In M. Tonry (Ed.), Crime and justice: A review of research (Vol. 34, pp. 55–132). Chicago: University of Chicago Press.
Farrington, D. P., & Welsh, B. (2007). Saving children from a life of crime: Early risk factors and effective interventions. Oxford: Oxford University Press.
Farrington, D. P., & Welsh, B. C. (2013). Randomized experiments in criminology: What has been learned from long-term follow-ups. In B. C. Welsh, A. A. Braga, & G. J. N. Bruinsma (Eds.), Experimental criminology: Prospects for advancing science and public policy (pp. 111–140). New York: Cambridge University Press.
Fixsen, D. L., Blase, K. A., Naoom, S. F., & Wallace, F. (2009). Core implementation components. Research on Social Work Practice, 19(5), 531–540.
Fixsen, D., Blase, K., Metz, A., & Van Dyke, M. (2013). Statewide implementation of evidence-based programs. Exceptional Children, 79(2), 213–230.
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(3), 151–175.
Guo, S., & Fraser, M. W. (2010). Propensity score analysis: Statistical methods and applications. Thousand Oaks, CA: Sage.
Haviland, A., Nagin, D. S., Rosenbaum, P. R., & Tremblay, R. E. (2008). Combining group-based trajectory modeling and propensity score matching for causal inferences in nonexperimental longitudinal data. Developmental Psychology, 44(2), 422–436.
Hawkins, J. D., & Catalano, R. F. (2005). Doing prevention science: A response to Dennis M. Gorman and a brief history of the quasi-experimental study nested within the Seattle Social Development Project. Journal of Experimental Criminology, 1(1), 79–86.
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(3), 226–234.
Heckman, J., Moon, S. H., Pinto, R., Savelyev, P., & Yavitz, A. (2010a). Analyzing social experiments as implemented: A reexamination of the evidence from the HighScope Perry Preschool Program. Quantitative Economics, 1(1), 1–46.
Heckman, J. J., Moon, S. H., Pinto, R., Savelyev, P. A., & Yavitz, A. (2010b). The rate of return to the HighScope Perry Preschool program. Journal of Public Economics, 94(1), 114–128.
Heckman, J. J., Pinto, R., & Savelyev, P. A. (2012). Understanding the mechanisms through which an influential early childhood program boosted adult outcomes (No. w18581). National Bureau of Economic Research. http://www.econstor.eu/bitstream/10419/69358/1/732416388.pdf. Accessed Dec 2013.
Hicks, D., Larson, C., Nelson, C., Olds, D. L., & Johnston, E. (2008). The influence of collaboration on program outcomes: The Colorado nurse—family partnership. Evaluation Review, 32(5), 453–477.
Homel, R., & Homel, P. (2012). Implementing crime prevention: Good governance and a science of implementation. In B. C. Welsh & D. P. Farrington (Eds.), The Oxford handbook of crime prevention (pp. 423–445). New York: Oxford University Press.
Judd, C. M., & Kenny, D. A. (1981). Process analysis estimating mediation in treatment evaluations. Evaluation Review, 5(5), 602–619.
Kitzman, H. J., Cole, R., Yoos, H. L., & Olds, D. (1997). Challenges experienced by home visitors: A qualitative study of program implementation. Journal of Community Psychology, 25(1), 95–109.
Lahey, B., Waldman, I. D., & McBurnett, K. (1999). The development of antisocial behavior: An integrative causal model. Journal of Child Psychology and Psychiatry, 40(5), 669–682.
Lipsey, M. W. (2006). Improving the evaluation of anticrime programs: There’s work to be done. Journal of Experimental Criminology, 2(4), 517–527.
Lipsey, M. W., & Wilson, D. B. (2001). Practical meta-analysis. Thousand Oaks, CA: Sage.
Loeber, R., & Stallings, R. (2011). Modeling the impact of interventions on local indicators of offending, victimization, and incarceration. In R. Loeber & D. Farrington (Eds.), Young homicide offenders and victims (pp. 137–152). New York: Springer.
MacKinnon, D. P. (2008). Introduction to statistical mediation analysis. New York: Taylor and Francis.
Macy, M. W., & Willer, R. (2002). From factors to actors: Computational sociology and agent-based modeling. Annual Review of Sociology, 28, 143–166.
Manski, C. F. (2013). Public policy in an uncertain world. Cambridge, MA: Harvard University.
Mears, D. P. (2010). American criminal justice policy: An evaluation approach to increasing accountability and effectiveness. New York: Oxford University Press.
Moffitt, T. E. (1993). Adolescent-limited and life-course persistent antisocial behavior: A developmental taxonomy. Psychology Review, 100(4), 674–701.
Muthén, B. O. (2004). Latent variable analysis: growth mixture modeling and related techniques for longitudinal data. In D. Kaplan (Ed.), Handbook of quantitative methodology for the social sciences (pp. 345–368). Newbury Park, CA: Sage Publications.
Nagin, D. S. (2005). Group-based modeling of development. Cambridge, MA: Harvard University Press.
Olds, D. L. (2005). The nurse-family partnership: Foundations in attachment theory and epidemiology. In L. J. Berlin (Ed.), Enhancing early attachments: Theory, research, intervention, and policy (pp. 217–249). New York: Guilford.
Olds, D. L., Henderson, C. R, Jr., Cole, R., Eckenrode, J., Kitzman, H., Luckey, D., et al. (1998). Long-term effects of nurse home visitation on children’s criminal and antisocial behavior. Journal of the American Medical Association, 280(14), 1238–1244.
Olds, D. L., Kitzman, H., Cole, R., & Robinson, J. (1997). Theoretical foundations of a program of home visitation for pregnant women and parents of young children. Journal of Community Psychology, 25(1), 9–25.
Olds, D. L., Robinson, J., O’Brien, R., Luckey, D. W., Pettitt, L. M., Henderson, C. R., et al. (2002). Home visiting by paraprofessionals and by nurses: A randomized, controlled trial. Pediatrics, 110(3), 486–496.
Owens, E. G., & Ludwig, J. (2013). Using regression discontinuity designs in crime research. In B. C. Welsh, A. A. Braga, & G. J. N. Bruinsma (Eds.), Experimental criminology: Prospects for advancing science and public policy (pp. 194–222). New York: Cambridge University Press.
Pawson, R., & Tilley, N. (1998). Realistic evaluation. Thousand Oaks, CA: Sage.
Perry, A. E. (2010). Descriptive validity and transparent reporting in randomised controlled trials. In D. Weisburd & A. R. Piquero (Eds.), Handbook of quantitative criminology (pp. 333–352). New York: Springer.
Petras, H., Masyn, K., & Ialongo, N. (2011). The developmental impact of two first grade preventive interventions on aggressive/disruptive behavior in childhood and adolescence: An application of latent transition growth mixture modeling. Prevention Science, 12(3), 300–313.
Petticrew, M., & Roberts, H. (2006). Systematic reviews in the social sciences: A practical guide. Malden, MA: Blackwell.
Piquero, A. R., Farrington, D. P., Welsh, B. C., Tremblay, R. E., & Jennings, W. G. (2009). Effects of early family/parent training programs on antisocial behavior and delinquency. Journal of Experimental Criminology, 5(2), 83–120.
Preacher, K. J., Wichman, A., MacCallum, R., & Briggs, N. (2008). Latent growth curve modeling. Thousand Oaks: Sage.
Reynolds, A. J., & Ou, S. R. (2011). Paths of effects from preschool to adult well-being: A confirmatory analysis of the Child-Parent Center Program. Child Development, 82(2), 555–582.
Reynolds, A. J., & Temple, J. A. (1995). Quasi-experimental estimates of the effects of a preschool intervention psychometric and econometric comparisons. Evaluation Review, 19(4), 347–373.
Reynolds, A. J., Temple, J. A., Ou, S. R., Arteaga, I. A., & White, B. A. (2011). School-based early childhood education and age-28 well-being: Effects by timing, dosage, and subgroups. Science, 333(6040), 360–364.
Reynolds, A. J., Temple, J. A., Robertson, D. L., & Mann, E. A. (2001). Long-term effects of an early childhood intervention on educational achievement and juvenile arrest. Journal of the American Medical Association, 285(18), 2339–2346.
Rosenbaum, P. R. (2002). Observational studies. New York: Springer.
Rubin, D. B. (1997). Estimating causal effects from large data sets using propensity scores. Annals of Internal Medicine, 127(8), 757–763.
Rubin, D. B. (2005). Causal inference using potential outcomes. Journal of the American Statistical Association, 100(469), 322–331.
Rubin, D. B. (2008). For objective causal inference, design trumps analysis. Annals of Applied Statistics, 2(3), 808–840.
Sampson, R. J. (2010). Gold standard myths: Observations on the experimental turn in quantitative criminology. Journal of Quantitative Criminology, 26(4), 489–500.
Sampson, R. J., & Laub, J. H. (2005). Seductions of method: Rejoinder to Nagin and Tremblay. Criminology, 43(4), 905–913.
Schweinhart, L. J. (2013). Long-term follow-up of a preschool experiment. Journal of Experimental Criminology, 9(4), 389–409.
Schweinhart, L. J., Montie, J., Zongping, X., Barnett, W. S., Belfield, C. R., & Nores, M. (2005). Lifetime effects: The High/Scope Perry Preschool study through age 40. Ypsilanti, MI: High/Scope Press.
Shadish, W. (2013). Propensity score analysis: Promise, reality, and irrational exuberance. Journal of Experimental Criminology, 9(2), 129–144.
Shadish, W. R., & Cook, T. D. (2009). The renaissance of field experimentation in evaluating interventions. Annual Review of Psychology, 60, 607–629.
Shadish, W. R., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton-Mifflin.
Spoth, R., Rohrbach, L. A., Greenberg, M., Leaf, P., Brown, C. H., Fagan, A. A., et al. (2013). Addressing core challenges for the next generation of type 2 translation research and systems: The translation science to population impact (TSci Impact) framework. Prevention Science, 14, 319–351.
Sullivan, C. J. (2013a). Enhancing translational knowledge on developmental crime prevention: The utility of understanding expert decision making. Criminology & Public Policy, 12(2), 343–351.
Sullivan, C. J. (2013b). Simulation for experimental testing and development of criminological theory. In B. C. Welsh, G. Bruinsma, & A. Braga (Eds.), Experimental criminology: Prospects for advancing science and public policy (pp. 65–89). New York: Cambridge University Press.
Taber, C. S., & Timpone, R. J. (1996). Computational modeling. Thousand Oaks, CA: Sage.
Tonry, M., Ohlin, L. E., & Farrington, D. P. (1991). Human development and criminal behavior: New ways of advancing knowledge. New York: Springer.
Tremblay, R. E., & Craig, W. M. (1995). Developmental crime prevention. In M. Tonry & D. P. Farrington (Eds.), Building a safer society: Strategic approaches to crime prevention. Crime and justice: A review of research (Vol. 19, pp. 151–236). Chicago: University of Chicago Press.
Weimer, D. L., & Friedman, L. S. (1979). Efficiency considerations in criminal rehabilitation research: Costs and consequences. In L. Sechrest, S. O. White, & E. D. Brown (Eds.), The rehabilitation of criminal offenders: Problems and prospects (pp. 251–272). Washington, DC: National Academy of Sciences.
Weisburd, D., Lum, C. M., & Petrosino, A. (2001). Does research design affect study outcomes in crime and justice? Annals of the American Academy of Political and Social Science, 578(1), 50–70.
Weiss, C. H. (1998). Evaluation (2nd ed.). Upper Saddle River, NJ: Prentice Hall.
Weiss, C. H., & Bucuvalas, M. J. (1980). Truth tests and utility tests: Decision-makers’ frames of reference for social science research. American Sociological Review, 45(2), 302–313.
Welsh, B. C., & Farrington, D. P. (2011). Evidence-based crime policy. In M. Tonry (Ed.), The Oxford handbook of crime and criminal justice (pp. 60–92). New York: Oxford University Press.
Welsh, B. C., Sullivan, C. J., & Olds, D. (2010). When early crime prevention goes to scale: A new look at the evidence. Prevention Science, 11(2), 115–125.
Wilson, D. B. (2001). Meta-analytic methods for criminology. Annals of the American Academy of Political and Social Science, 578(1), 71–89.
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Sullivan, C.J., Welsh, B.C. (2017). Methodological Advances in Crime Prevention Research. In: Teasdale, B., Bradley, M. (eds) Preventing Crime and Violence. Advances in Prevention Science. Springer, Cham. https://doi.org/10.1007/978-3-319-44124-5_28
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