Abstract
School exclusionary practices are routinely used in response to undesired behaviors in the school environment and have been shown to have resulted in unintentional or collateral consequences for youth, including increased risk of arrest, offending behavior, and incarceration. Little research has been done on how school exclusion impacts interaction with prosocial peers and involvement in prosocial opportunities. This study applies the labeling perspective’s knifing off concept to examine whether prosocial exposures and deviant peer associations mediate the relationship between school suspension, arrest, and offending behavior. Using data from the LONGSCAN study, we examined whether suspension led to changes in prosocial peer association and activity involvement, increases in deviant peer association, and ultimately arrest and offending behavior. Results provided support for the labeling perspective’s hypotheses, finding school suspension was indirectly associated with both arrest and offending behavior via decreases in prosocial exposures and increases in deviant peer associations. Findings suggest policy makers should consider alternatives to school suspension where possible to avoid collateral consequences like reductions in prosocial exposures and deviant peer associations and should consider applying restorative approaches following a suspension experience to reintegrate youth into prosocial communities.
Similar content being viewed by others
Notes
We refer to these measures as self-reported offending (age 18) and self-reported delinquency (age 12) to reflect the different composition of the measures.
Self-reported offending and self-reported delinquency were measured as index variables, rather than latent constructs, because delinquency was not theorized to be unidimensional, nor were delinquent behaviors considered to be the result of underlying delinquent tendencies, as would be assumed if delinquency were to be operationalized as a latent construct. Different forms of delinquency such as theft and assault were considered to be manifestations of unique underlying tendencies, such as impulsivity and aggression. By not measuring offending/ delinquency as latent constructs, we avoid assuming these behaviors are the result of an underlying single construct.
Age eight information was used for 78 youth. Results did not differ substantively when these youth were excluded from the sample. To increase power, they were retained and age eight free or reduced lunch information was used.
Models were run using 100, 500, 1000, 2000, 5000, 10,000 and 20,000 bootstrap samples. Results were stable across models, so 2000 samples were used for all analyses.
Wiley et al. (2013) found being stopped or arrested by police in adolescence had small effects on access to prosocial activities and exclusion from prosocial peers, and Jacobsen (2017) found school suspension was associated with small decreases in association with normative peers. Because mediation effects are calculated by multiplying regression coefficients, mediation effects are smaller in magnitude than effect sizes deemed small by established standards (Fritz & MacKinnon, 2007). The proposed study involves multiple mediators in a given path, further reducing effect sizes associated with indirect effects. Research suggests a majority of mediation studies are not sufficiently powered, increasing risk of Type I error (Fritz & MacKinnon, 2007). Because sample size could not be increased, to account for the influence of measurement error in reducing statistical power (Hoyle & Kenny, 1999) and the magnitude of anticipated effect sizes associated with pathways involving multiple mediations, 90% confidence intervals were employed.
References
Achenbach, T. M. (1991). Manual for the Teacher's report form and 1991 profile. Burlington: University of Vermont, Department of Psychiatry.
Allison, P. D. (2009). Fixed effects regression models (Vol. 160). SAGE publications.
Balfanz, R., & Fox, J. (2014). Sent home and put off-track: The antecedents, disproportionalities, and consequences of being suspended in the ninth grade. Journal of Applied Research on Children: Informing Policy for Children at Risk, 5(2), 13–32.
Barrett, S. B., Bradshaw, C. P., & Lewis-Palmer, T. (2008). Maryland statewide PBIS initiative: Systems, evaluation, and next steps. Journal of Positive Behavior Interventions, 10(2), 105–114.
Bernburg, J. G. (2009). Labeling theory. In M. D. Krohn, A. J. Lizotte Hall, & G. Penly (Eds.), Handbook on crime and deviance (pp. 187–207). New York: Springer Science and Business Media, LLC.
Bernburg, J. G., & Krohn, M. D. (2003). Labeling, life chances, and adult crime: The direct and indirect effects of official intervention in adolescence on crime in early adulthood. Criminology, 41(4), 1287–1318.
Bernburg, J. G., Krohn, M. D., & Rivera, C. J. (2006). Official labeling, criminal embeddedness, and subsequent delinquency: A longitudinal test of labeling theory. Journal of Research in Crime and Delinquency, 43(1), 67–88.
Bradley, M. T., & Brand, A. (2013). Alpha values as a function of sample size, effect size, and power: Accuracy over inference. Psychological Reports, 112(3), 835–844.
Chiricos, T., Barrick, K., Bales, W., & Bontrager, S. (2007). The labeling of convicted felons and its consequences for recidivism. Criminology, 45(3), 547–581.
Cholewa, B., Hull, M. F., Babcock, C. R., & Smith, A. D. (2018). Predictors and academic outcomes associated with in-school suspension. School Psychology Quarterly, 33(2), 191–199.
Cuellar, A. E., & Markowitz, S. (2015). School suspension and the school-to-prison pipeline. International Review of Law and Economics, 43, 98–106.
Dong, B., & Krohn, M. D. (2019). Sent home versus being arrested: The relative influence of school and police intervention on drug use. Justice Quarterly, 1–27.
Elliott, D. S., Huizinga, D., & Morse, B. (1987). Self-reported violent offending: A descriptive analysis of juvenile violent offenders and their offending careers. Journal of Interpersonal Violence, 1(4), 472–514.
Evans, K. R., & Lester, J. N. (2013). Restorative justice in education: What we know so far. Middle School Journal, 44(5), 57–63.
Fenning, P. A., Pulaski, S., Gomez, M., Morello, M., Maciel, L., Maroney, E., ... & Wilson, R. (2012). Call to action: A critical need for designing alternatives to suspension and expulsion. Journal of School Violence, 11(2), 105–117.
Fritz, M. S., & MacKinnon, D. P. (2007). Required sample size to detect the mediated effect. Psychological Science, 18(3), 233–239.
Gonzalez, T. (2012). Keeping kids in schools: Restorative justice, punitive discipline, and the school to prison pipeline. Journal of Law & Education, 41, 281–336.
Gregory, A., Huang, F. L., Anyon, Y., Greer, E., & Downing, B. (2018). An examination of restorative interventions and racial equity in out-of-school suspensions. School Psychology Review, 47(2), 167–182.
Hayes, A. F. (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: Guilford publications.
Hemez, P., Brent, J. J., & Mowen, T. J. (2020). Exploring the school-to-prison pipeline: How school suspensions influence incarceration during young adulthood. Youth Violence and Juvenile Justice, 1541204019880945.
Hemphill, S. A., Herrenkohl, T. I., Plenty, S. M., Toumbourou, J. W., Catalano, R. F., & McMorris, B. J. (2012). Pathways from school suspension to adolescent nonviolent antisocial behavior in students in Victoria, Australia and Washington state, United States. Journal of Community Psychology, 40(3), 301–318.
Hirschfield, P. J. (2018). Schools and crime. Annual Review of Criminology, 1, 149–169.
Hoyle, R. H., & Kenny, D. A. (1999). Sample size, reliability, and tests of statistical mediation. In R. H. Hoyle (Ed.), Statistical strategies for small sample research (pp. 195–222). Thousand Oaks: Sage.
Huang, F. L., & Cornell, D. (2018). The relationship of school climate with out-of-school suspensions. Children and Youth Services Review, 94, 378–389.
Jacobsen, W. C. (2017). School Suspension and Adolescent Friendship Networks: A Longitudinal Social Network Analysis of Labeling Theory [doctoral dissertation, the Pennsylvania State University]. Proquest Dissertations Publishing.
Iacobucci, D. (2010). Structural equations modeling: Fit indices, sample size, and advanced topics. Journal of Consumer Psychology, 20(1), 90–98.
Jolliffe, D., Farrington, D. P., Hawkins, J. D., Catalano, R. F., Hill, K. G., & Kosterman, R. (2003). Predictive, concurrent, prospective and retrospective validity of self-reported delinquency. Criminal Behavior and Mental Health, 13(3), 179–197.
Karp, D. R., & Breslin, B. (2001). Restorative justice in school communities. Youth & Society, 33(2), 249–272.
Kirk, D. S., & Sampson, R. J. (2013). Juvenile arrest and collateral educational damage in the transition to adulthood. Sociology of Education, 86(1), 36–62.
Kline, R. B. (2015). Principles and practice of structural equation modeling. New York: Guilford publications.
Krohn, M. D., Lizotte, A. J., Phillips, M. D., Thornberry, T. P., & Bell, K. A. (2013). Explaining systematic bias in self-reported measures: Factors that affect the under-and over-reporting of self-reported arrests. Justice Quarterly, 30(3), 501–528.
Krohn, M. D., Lopes, G., & Ward, J. T. (2014). Effects of official intervention on later offending in the Rochester youth development study. In D.P. Farrington & J. Murray (Eds.) Labeling theory: Empirical tests, 179-208.
Kupchik, A. (2016). The real school safety problem: The long-term consequences of harsh school punishment. Oakland: Univ of California Press.
Kupchik, A., & Catlaw, T. J. (2015). Discipline and participation: The long-term effects of suspension and school security on the political and civic engagement of youth. Youth & Society, 47(1), 95–124.
Lee, T., Cornell, D., Gregory, A., & Fan, X. (2011). High suspension schools and dropout rates for black and white students. Education and Treatment of Children, 34(2), 167–192.
Link, B. (1982). Mental patient status, work, and income: An examination of the effects of a psychiatric label. American Sociological Review, 47, 202–215.
Lopes, G., Krohn, M. D., Lizotte, A. J., Schmidt, N. M., Vasquez, B. E., & Bernburg, J. G. (2012). Labeling and cumulative disadvantage: The impact of formal police intervention on life chances and crime during emerging adulthood. Crime & Delinquency, 58(3), 456–488.
Maxfield, M. G., & Widom, C. S. (1996). The cycle of violence: Revisited 6 years later. Archives of Pediatrics & Adolescent Medicine, 150(4), 390–395.
Meldrum, R. C., & Boman IV, J. H. (2013). Similarities and differences between perceptions of peer delinquency, peer self-reported delinquency, and respondent delinquency: An analysis of friendship dyads. Journal of Criminal Justice, 41(6), 395–406.
Mittleman, J. (2018). A downward spiral? Childhood suspension and the path to juvenile arrest. Sociology of Education, 91(3), 183–204.
Monahan, K. C., VanDerhei, S., Bechtold, J., & Cauffman, E. (2014). From the school yard to the squad car: School discipline, truancy, and arrest. Journal of Youth and Adolescence, 43(7), 1110–1122.
Mowen, T., & Brent, J. (2016). School discipline as a turning point: The cumulative effect of suspension on arrest. Journal of Research in Crime and Delinquency, 53(5), 628–653.
Mowen, T. J., Brent, J. J., & Boman IV, J. H. (2020). The effect of school discipline on offending across time. Justice Quarterly, 37(4), 739–760.
Nagin, D. S., & Paternoster, R. (1991). On the relationship of past to future participation in delinquency. Criminology, 29(2), 163–189.
Noltemeyer, A. L., Ward, R. M., & Mcloughlin, C. (2015). Relationship between school suspension and student outcomes: A meta-analysis. School Psychology Review, 44(2), 224–240.
Novak, A. (2019). The school-to-prison pipeline: An examination of the association between suspension and justice system involvement. Criminal Justice and Behavior, 46(8), 1165–1180.
Osgood, D. W., Wilson, J. K., O'malley, P. M., Bachman, J. G., & Johnston, L. D. (1996). Routine activities and individual deviant behavior. American Sociological Review, 61, 635–655.
Pager, D. (2003). The mark of a criminal record. American Journal of Sociology, 108, 937–975.
Paternoster, R., & Iovanni, L. (1989). The labeling perspective and delinquency: An elaboration of the theory and an assessment of the evidence. Justice Quarterly, 6(3), 359–394.
Payne, A. A., & Welch, K. (2015). Restorative justice in schools: The influence of race on restorative discipline. Youth & Society, 47(4), 539–564.
Quin, D., & Hemphill, S. A. (2014). Students’ experiences of school suspension. Health Promotion Journal of Australia, 25(1), 52–58.
Restivo, E., & Lanier, M. M. (2015). Measuring the contextual effects and mitigating factors of labeling theory. Justice Quarterly, 32(1), 116–141.
Rosenbaum, J. (2020). Educational and criminal justice outcomes 12 years after suspension. Youth & Society, 52(4), 515–547.
Runyan, D. K., Curtis, P. A., Hunter, W. M., Black, M. M., Kotch, J. B., Bangdiwala, S., Dubowitz, H., English, D., Everson, M. D., & Landsverk, J. (1998). LONGSCAN: A consortium for longitudinal studies of maltreatment and the life course of children. Aggression and Violent Behavior, 3(3), 275–285.
Sampson, R. J., & Laub, J. H. (1997). A life-course theory of cumulative disadvantage and the stability of delinquency. In T. P. Thornberry (Ed.), Developmental theories of crime and delinquency. Transaction: New Brunswick.
Sampson, R. J., & Laub, J. H. (2003). Life-course desisters? Trajectories of crime among delinquent boys followed to age 70. Criminology, 41(3), 555–592.
Schmidt, N. M., Lopes, G., Krohn, M. D., & Lizotte, A. J. (2015). Getting caught and getting hitched: An assessment of the relationship between police intervention, life chances, and romantic unions. Justice Quarterly, 32(6), 976–1005.
Sharkey, J. D., & Fenning, P. A. (2012). Rationale for designing school contexts in support of proactive discipline. Journal of School Violence, 11(2), 95–104.
Sink, C. A., & Mvududu, N. H. (2010). Statistical power, sampling, and effect sizes: Three keys to research relevancy. Counseling Outcome Research and Evaluation, 1(2), 1–18.
Skiba, R. J., Arredondo, M. I., & Williams, N. T. (2014). More than a metaphor: The contribution of exclusionary discipline to a school-to-prison pipeline. Equity & Excellence in Education, 47(4), 546–564.
Suh, S., & Suh, J. (2007). Risk factors and levels of risk for high school dropouts. Professional School Counseling, 10(3), 297–306.
Wiley, S. A., Slocum, L. A., & Esbensen, F. A. (2013). The unintended consequences of being stopped or arrested: An exploration of the labeling mechanisms through which police contact leads to subsequent delinquency. Criminology, 51(4), 927–966.
Wolf, K. C., & Kupchik, A. (2017). School suspensions and adverse experiences in adulthood. Justice Quarterly, 34(3), 407–430.
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Novak, A., Krohn, M. Collateral Consequences of School Suspension: Examining the ‘Knifing off’ Hypothesis. Am J Crim Just 46, 728–747 (2021). https://doi.org/10.1007/s12103-020-09579-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12103-020-09579-5