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The Clemson Juvenile Delinquency Project: Major Findings from a Multi-Agency Study

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Clemson University researchers have conducted a multi-agency, multi-cohort study on juvenile offending and recidivism. Important features of the study are a sample size of approximately 100,000 delinquents and 100,000 non-delinquents; the merging of data sets from a state department of juvenile justice with those of departments of mental health, social services, education, and (adult) law enforcement; and statistical analyses focusing on the role of age, race, gender, child maltreatment, mental health disorders and school-related disabilities on juvenile referrals, prosecutions, re-offending and incarceration. Published findings strongly support earlier empirical and clinical work on influences on juvenile delinquency. The present article emphasizes our findings related to five important issues: the impact of prosecution on repeat offending, the effects of the juvenile's race on solicitor recommendations, the significance of one-time juvenile offending, the empirical support for the concept of "resilience," and the magnitude of associations between childhood history and later criminal offending.

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  • Akers, R. L. (1998). Social learning theory and social structure: A general theory of crime and deviance. Boston: Northeastern University Press.

    Google Scholar 

  • American Psychiatric Association. (2013). Diagnostic and statistical manual of the American Psychiatric Association (DSM-V). Washington, D.C.: Author.

    Google Scholar 

  • American Psychological Association, Task Force on Resilience and Strength in Black Children and Adolescents. (2008). Resilience African American children and adolescents: A vision for optimal development. Washington, DC: Author. Retrieved from

  • Archwamety, T., & Katsiyannis, A. (2000). Academic remediation, parole violations, and recidivism rates among delinquent youths. Remedial and Special Education, 21, 161–170.

    Article  Google Scholar 

  • Barrett, D. E., Ju, S., Katsiyannis, A., & Zhang, D. (2015). Females in the juvenile justice system: Influences on delinquency and recidivism. Journal of Child and Family Studies, 24, 427–433.

    Article  Google Scholar 

  • Barrett, D. E., & Katsiyannis, A. (2015). Juvenile delinquency recidivism: Are Black and White youth vulnerable to the same risk factors? Behavioral Disorders, 40, 174–195.

    Article  Google Scholar 

  • Barrett, D. E., & Katsiyannis, A. (2016). Juvenile offending and crime in early adulthood: A large sample analysis. Journal of Child and Family Studies, 25, 1086–1097.

    Article  Google Scholar 

  • Barrett, D. E., Katsiyannis, A., & Zhang, J. D. (2006). Predictors of offense severity, adjudication, incarceration and repeat violations for adolescent male and female offenders. Journal of Child and Family Studies, 15, 708–718.

    Article  Google Scholar 

  • Barrett, D. E., Katsiyannis, A., & Zhang, D. (2010). Predictors of offense severity, adjudication, incarceration and repeat referrals for juvenile offenders: A multi-cohort replication study. Remedial and Special Education, 31, 261–275.

    Article  Google Scholar 

  • Barrett, D. E., Katsiyannis, A., Zhang, D., & Kingree, J. B. (2015). Predictors of teen childbearing among delinquent and non-delinquent females. Journal of Child and Family Studies, 24, 970–978.

    Article  Google Scholar 

  • Barrett, D. E., Katsiyannis, A., Zhang, D., & Zhang, D. (2014a). A structural equation modeling analysis of influences on juvenile delinquency. Behavioral Disorders, 39, 113–127.

    Article  Google Scholar 

  • Barrett, D. E., Katsiyannis, A., Zhang, D., & Zhang, D. (2014b). Delinquency and recidivism: A multi-cohort, matched -control study of the role of early adverse experiences, mental health problems and disabilities. Journal of Emotional and Behavioral Disorders, 22, 3–15.

    Article  Google Scholar 

  • Belsky, J. (1984). The determinants of parenting: A process model. Child Development, 55, 83–96.

    Article  Google Scholar 

  • Bishop, D. M., & Frazier, C. E. (1996). Race effects in juvenile justice decision-making: Findings of a statewide analysis. Journal of Criminal Law and Criminology, 86, 392–414.

    Article  Google Scholar 

  • Bonnano, G. A. (2004). Loss, trauma and human resilience. American Psychologist, 59, 20–28.

    Article  Google Scholar 

  • Bonta, J., Blais, J., & Wilson, H. A. (2014). A theoretically informed meta-analysis of the risk for general and violent recidivism for mentally disordered offenders. Aggression and Violent Behavior, 9(3), 278–287.

    Article  Google Scholar 

  • Bridges, G. S., & Steen, S. (1998). Racial disparities in official assessments of juvenile offenders:Attributional stereotypes as mediating mechanisms. American Sociological Review, 63, 554–570.

    Article  Google Scholar 

  • Centers for Disease Control and Prevention. (2007). The effectiveness of universal school-based programs for the prevention of violent and aggressive behavior: A report on recommendations of the Task Force on Community Preventive Services. Retrieved from

  • Cohen, M. A., & Piquero, A. R. (2009). New evidence on the monetary value of saving a high risk youth. Journal of Quantitative Criminology, 25, 25–49.

    Article  Google Scholar 

  • Cohen, M. A. (1998). The monetary value of saving a high-risk youth. Journal of Quantitative Criminology, 14, 5–33.

    Article  Google Scholar 

  • Constantine, R. J., Petrila, J., Andel, R., Givens, E. M., Becker, M., & Robst, J., et al. (2010). Arrest trajectories of adult offenders with a serious mental illness. Psychology, Public Policy, and Law, 16, 319–339. doi:10.1037/a0020852.

    Article  Google Scholar 

  • Cottle, C. C., Lee, R. J., & Heilbrun, K. (2001). The prediction of criminal recidivism in juveniles: A meta-analysis. Criminal Justice and Behavior, 28, 367–394.

    Article  Google Scholar 

  • David-Ferdon, C., & Simon, T. R. (2014). Preventing youth violence: Opportunities for action. Atlanta, GA: National Center for Injury Prevention and Control, Centers for Disease Control and Prevention. 2014. Retrieved from.

    Google Scholar 

  • Fast Track Project. (2011). Fast Track overview. Retrieved from

  • Gendreau, P., Little, T., & Goggin, C. (1996). A meta-analysis of the predictors of adult offender recidivism: What works! Criminology, 34, 575–608.

    Article  Google Scholar 

  • Greenwood, P. (2008). Prevention and intervention programs for Juvenile offenders. The Future of Children, 18(2), 185–210.

    Article  Google Scholar 

  • Harlow, C. (2003). Education and correctional population (Bureau of Justice Statistics Special Report). Washington: DC: U.S. Department of Justice.

    Google Scholar 

  • Heitzeg, N. A. (2009). Education or incarceration: Zero tolerance policies and the school to prison pipeline (Forum on Public Policy Online). Retrieved from

  • Katsiyannis, A., Thompson, M. E., Barrett, D. E., & Kingree, J. B. (2012). School predictors of violent criminality in adulthood: Findings from a nationally representative longitudinal study. Remedial and Special Education, 34, 205–214.

    Article  Google Scholar 

  • Kazdin, A. E., & Kendall, P. C. (1998). Current progress and future plans for developing effective treatments: Comments and perspectives. Journal of Clinical Child Psychology, 27, 217–226.

    Article  Google Scholar 

  • Kochanska, G., Koenig, J. L., Barry, R. A., Kim, S., & Yoon, J. E. (2010). Children’s conscience during toddler and preschool years, moral self, and a competent, adaptive developmental trajectory. Developmental Psychology, 46, 1320–1332.

    Article  Google Scholar 

  • Krezmien, M. P., Mulcahy, C. A., & Leone, P. E. (2008). Detained and committed youth: Examining differences in achievement, mental health needs, and special education status. Education & Treatment of Children, 31, 445–464.

    Article  Google Scholar 

  • Lee, T.Y, Cheung, C.K. & Kwong, W.M. (2012). Resilience as a positive youth development construct: A conceptual review. ScientificWorld Journal, (Published online 2012 May 2. 10.1100/2012/390450. Retrieved from

  • Loeber, R., Farrington, D. P., & Petechuck, D. (2003). Child delinquency: Earlyintervention and prevention. Child Delinquency Bulletin Series. Office of Juvenile Justice and Delinquency Prevention, Retrieved from

  • Mihalic, S., Irwin, K., Elliott, D., Fagan, A., & Hansen, D. (2001). Blueprints for violence Prevention. OJJDP Juvenile Justice Bulletin, Retrieved from

  • Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review, 100, 674–701.

    Article  Google Scholar 

  • Mueller, D., Giacomazzi, A., & Stoddard, C. (2006). Dealing with chronic absenteeism and its related consequences: The process and short-term effects of a diversionary juvenile court intervention. Journal of Education for Students Placed at Risk, 11, 199–219.

    Article  Google Scholar 

  • Ross, L. (1977). The intuitive psychologist and his shortcomings: Distortions in the attribution process. In L. Berkowitz (Ed.), Advances in experimental social psychology. (Vol. 10) New York: Academic Press.

    Google Scholar 

  • Steinberg, L. (2014). Adolescence (10th ed.). New York: McGraw-Hill.

    Google Scholar 

  • The Sentencing Project. (2014). Policy brief: Disproportionate minority contact in the juvenile justice system. Washington, DC: Author. Retrieved from.

    Google Scholar 

  • Wang, X., Blomberg, T., & Li, S. (2005). Comparison of the educational deficiencies of delinquent and non delinquent students. Evaluation Review, 29, 291–312.

    Article  Google Scholar 

  • Wu, L., & Thomson, E. (2001). Race differences in family experiences and early sexual initiation: Dynamic models of family structure and family change. Journal of Marriage and the Family, 63, 682–696.

    Article  Google Scholar 

  • Zapolski, C. B., Garcia, C. A., Jarjoura, G. R., Lau, S. L., & Aalsma, M. C. (2016). Examining the influence of ethnic/racial socialization on aggressive behaviors among juvenile offenders. Journal of Juvenile Justice, 5, 65–79.

    PubMed  PubMed Central  Google Scholar 

  • Zhang, D., Barrett, D. E., Katsiyannis, A., & Yoon, M. (2011a). Juvenile offenders with and without disabilities: Risks and patterns of recidivism. Learning and Individual Differences, 21, 12–18.

    Article  Google Scholar 

  • Zhang, D., Hsu, H., Katsiyannis, A., Barrett, D. E., & Ju, S. (2011b). Adolescents with disabilities in the juvenile justice system: Patterns of recidivism. Exceptional Children, 77, 283–298.

    Article  Google Scholar 

  • Zhang, D., Katsiyannis, A., Barrett, D.E. & Willson,V. (2007). Truancy offenders in the juvenile justice system: Examinations of first and second referrals. Remedial and Special Education, 28, 244–256.

  • Zhang, D., Willson, V., Katsiyannis, A., Barrett, D. E., Ju, S., & Wu, J. Y. (2010). Truancy offenders in the juvenile justice system: A multi-cohort replication study. Behavioral Disorders, 35(3), 229–242.

    Article  Google Scholar 

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Correspondence to David E. Barrett.

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The project has been conducted in compliance with ethical standards regarding the use of secondary data.

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The authors declare that they have no competing interests.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This report was based on analyses of data on human participants; the report was based on analyses of extant (secondary) data and thus did not require the informed consent of individual participants.

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Barrett, D.E., Katsiyannis, A. The Clemson Juvenile Delinquency Project: Major Findings from a Multi-Agency Study. J Child Fam Stud 26, 2050–2058 (2017).

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