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Racial Disparities in Arrests: A Race Specific Model Explaining Arrest Rates Across Black and White Young Adults

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Abstract

Three theories attempt to explain the racial disparities in arrest between White and Black Americans: Differential Involvement Hypothesis, Differential Selection and Processing Hypothesis, and Social Disorganization Theory. We tested these hypotheses simultaneously in a multiple-group longitudinal panel model with the ADD Health dataset (Black n = 2459, Whiten = 7403). After controlling for contextual and behavioral factors, we still found Black young adults were arrested seven times more often than their White counterparts. To maintain cultural competence, it is imperative for clinicians to be aware of these disparities when working with families of different races in order to adjust treatment accordingly, but advocacy for greater systemic change may be more important for some communities than therapy alone.

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References

  • Arredondo, P. (1999). Multicultural counseling competencies as tools to address oppression and racism. Journal of Counseling & Development,77, 102–108. https://doi.org/10.1002/j.1556-6676.1999.tb02427.x.

    Article  Google Scholar 

  • Barnes, J. C., Jorgensen, C., Beaver, K. M., Boutwell, B. B., & Wright, J. P. (2014). Arrest prevalence in a national sample of adults: The role of sex and race/ethnicity. American Journal of Criminal Justice,40, 457–465.

    Article  Google Scholar 

  • Bechtold, J., Monahan, K., Wakefield, S., & Cauffman, E. (2015). The role of race in probation monitoring and responses to probation violations among juvenile offenders in two jurisdictions. Psychology, Public Policy, and Law,21, 323–337.

    Article  Google Scholar 

  • Beyer, K., Wallis, A. B., & Hamberger, L. K. (2013). Neighborhood environment and intimate partner violence. Trauma, Violence, & Abuse,16, 16–47. https://doi.org/10.1177/1524838013515758.

    Article  Google Scholar 

  • Carson, E. A., & Golinelli, D. (2013). Prisoners in 2012—Advance counts. Washington, DC: U.S. Department of Justice.

    Google Scholar 

  • Chantala, K. (2006). Guidelines for analyzing Add Health data. Chapel Hill, NC: University of North Carolina at Chapel Hill. Carolina Population Center.

    Google Scholar 

  • Crosnoe, R., & Elder, G. H. (2004). Family dynamics, supportive relationships, and educational resilience during adolescence. Journal of Family Issues,25, 571–602.

    Article  Google Scholar 

  • Donaldson, C. D., Handren, L. M., & Crano, W. D. (2016). The enduring impact of parents’ monitoring, warmth, expectancies, and alcohol use on their children’s future binge drinking and arrests: A longitudinal analysis.Prevention Science,17, 606–614. https://doi.org/10.1007/s11121-016-0656-1.

    Article  PubMed  PubMed Central  Google Scholar 

  • Gase, L. N., Glenn, B. A., Gomez, L. M., Kuo, T., Inkelas, M., & Ponce, N. A. (2016). Understanding racial and ethnic disparities in arrest: The role of individual, home, school, and community characteristics.Race and Social Problems,8, 296–312.

    Article  Google Scholar 

  • Graham, S., & Lowery, B. S. (2004). Priming unconscious racial stereotypes about adolescent offenders. Law and Human Behavior,28, 483–504.

    Article  Google Scholar 

  • Hamil-Luker, J. (2008). Delinquency, incarceration and health in midlife: Racial/ethnic disparities among Black, Hispanic and White men. Paper presented at the American Sociological Association Conference.

  • Hardy, K. V. (2008). Race, reality and relationships—implications for the re-visioning of family therapy. In M. McGoldrick & K. V. Hardy (Eds.), Re-visioning of family therapy (2nd ed., pp. 76–84). New York: The Guilford Press.

    Google Scholar 

  • Harris, K. M., Halpern, C. T., Whitsel, E., Hussey, J., Tabor, J., Entzel, P., & Udry, J. R. (2009). The National Longitudinal Study of Adolescent Health: Research Design [WWW document]. http://www.cpc.unc.edu/projects/addhealth/design.

  • Kamalu, N. C., Coulson-Clark, M., & Kamalu, N. M. (2010). Racial disparities in sentencing: Implications for the criminal justice system and the African American Community. African Journal of Criminology & Justice Studies,4, 1–8.

    Google Scholar 

  • Kubrin, C. E., & Stewart, E. A. (2006). Predicting who reoffends: The neglected role of neighborhood context in recidivism studies.Criminology,44, 165–197.

    Article  Google Scholar 

  • McAdams-Mahmoud, V. (2008). Understanding families in the context of cultural adaptations to oppression. In M. McGoldrick & K. V. Hardy (Eds.), Re-visioning family therapy: Race, culture, and gender in clinical practice (pp. 85–93). New York: The Guilford Press.

    Google Scholar 

  • Mitchell, O., & Caudy, M. S. (2013). Examining racial disparities in drug arrests. Justice Quarterly,32, 288–313.

    Article  Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (1998–2012). Mplus user’s guide (8th ed.). Los Angeles, CA: Muthén & Muthén.

  • Piquero, A. R. (2008). Disproportionate minority contact. The Future of Children,18, 59–79.

    Article  Google Scholar 

  • Pratt, T. C., Barnes, J. C., Cullen, F. T., & Turanovic, J. J. (2016). “I suck at everything”: Crime, arrest, and the generality of failure.Deviant Behavior,37, 837–851. https://doi.org/10.1080/01639625.2016.1147809.

    Article  PubMed  PubMed Central  Google Scholar 

  • Puzzanchera, C., & Hockenberry, S. (2015). National disproportionate minority contact databook. Pittsburgh, PA: National Center for Juvenile Justice for the Office of Juvenile Justice and Delinquency Prevention.

    Google Scholar 

  • Sampson, R., & Groves, W. (1989). Community structure and crime: Testing social-disorganization theory. American Journal of Sociology,94, 774–802.

    Article  Google Scholar 

  • Satorra, A., & Bentler, P. (2011). A scaled difference Chi square test for moment structure analysis. Psychometrika,66, 507–514.

    Article  Google Scholar 

  • Slutske, W. S., Deutsch, A. R., & Piasecki, T. M. (2016). Neighborhood contextual factors, alcohol use, and alcohol problems in the United States: Evidence from a nationally representative study of young adults.Alcoholism, Clinical and Experimental Research,40, 1010–1019. https://doi.org/10.1111/acer.13033.

    Article  PubMed  PubMed Central  Google Scholar 

  • Spohn, C. (2000). Thirty years of sentencing reform: The quest for a racially neutral sentencing process. Criminal Justice,3, 427–501.

    Google Scholar 

  • van de Mortel, T. F. (2008). Faking it: Social desirability response bias in self-report research. Australian Journal of Advanced Nursing, 25, 40–48.

    Google Scholar 

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Acknowledgements

This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from grant P01-HD31921 for this analysis.

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The authors declare there was no funding involved in this research project.

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Correspondence to Cydney Schleiden.

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The authors declare no conflicts of interest.

Ethical Approval

All procedures performed in studies involving human participants were in accordance with ethical standards of the institutional review board.

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The ADD Health researchers obtained informed consent from all individual participants included in the study.

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We would like to dedicate this research to the incarcerated minority adolescents who inspired us to tell their story in hopes to provide them with equal opportunity and create awareness for others to advocate for the betterment of their future.

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Schleiden, C., Soloski, K.L., Milstead, K. et al. Racial Disparities in Arrests: A Race Specific Model Explaining Arrest Rates Across Black and White Young Adults. Child Adolesc Soc Work J 37, 1–14 (2020). https://doi.org/10.1007/s10560-019-00618-7

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