School suspension is associated with increases in delinquency and arrest and is disproportionality experienced by youth of color. Limited research has examined the outcomes of suspension experienced at different developmental stages. The purpose of this study was to examine the relationships between suspension, delinquency, and arrest, as well as if and how these relationships differed among youth first suspended in childhood and youth first suspended in adolescence and whether suspension experiences differed by race/ethnicity. Results indicated that suspension was more likely to be experienced by Black and Hispanic youth. Results also indicated suspension in adolescence was associated with increases in delinquency, and suspension in childhood and suspension in adolescence were associated with increases in arrest. Suspension in adolescence was associated with increases in delinquency, while suspension in childhood was associated with greater increases in arrest. Results suggest policy makers and practitioners should consider alternatives to suspension to prevent delinquency and arrest.
AllisonP. D. (2009). Fixed effects regression models (Vol. 160). SAGE.
2.
AmrheinV.GreenlandS.McShaneB. (2019). Scientists rise up against statistical significance. Nature, 567, 305–307.
3.
AnyonY.JensonJ. M.AltschulI.FarrarJ.McQueenJ.GreerE.DowningB.SimmonsJ. (2014). The persistent effect of race and the promise of alternatives to suspension in school discipline outcomes. Children and Youth Services Review, 44, 379–386.
4.
AustinP. C. (2009). Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples. Statistics in Medicine, 28(25), 3083–3107.
5.
AustinP. C. (2021). Informing power and sample size calculations when using inverse probability of treatment weighting using the propensity score. Statistics in Medicine, 40(27), 6150–6163.
6.
BaiH.ClarkM. H. (2019). Propensity score methods and applications. SAGE.
7.
BauleS. M.SuperiorW. I. (2020). The impact of positive behavior intervention support (PBIS) on suspensions by race and ethnicity in an urban school district. AASA Journal of Scholarship & Practice, 16(4), 45–56.
8.
BrookhartM. A.SchneeweissS.RothmanK. J.GlynnR. J.AvornJ.StürmerT. (2006). Variable selection for propensity score models. American Journal of Epidemiology, 163(12), 1149–1156.
9.
CaspiA.ElderG. H.BernD. (1987). Moving against the world: Life-course patterns of explosive children. Developmental Psychology, 23(2), 308–313.
10.
ChristieC. A.NelsonC. M.JolivetteK. (2004). School characteristics related to the use of suspension. Education and Treatment of Children, 27(4), 509–526.
11.
ElliottD. S.AgetonS. S.HuizingaD.KnowlesB. A.CanterR. J. (1983). The prevalence and incidence of delinquent behavior: 1976–1980 (National Youth Survey Report No. 26). Behavioral Research Institute.
FabeloT.ThompsonM. D.PlotkinM.CarmichaelD.MarchbanksM. P.BoothE. A. (2011). Breaking schools’ rules: A statewide study of how school discipline relates to students’ success and juvenile justice involvement. Council of State Governments Justice Center.
14.
FarringtonD. P. (2003). Developmental and life-course criminology: Key theoretical and empirical issues—the 2002 Sutherland Award address. Criminology, 41(2), 221–225.
15.
FergusonA. A. (2000). Bad boys: Public schools in the making of Black masculinity. University of Michigan Press.
16.
FisherB. W.HennessyE. A. (2016). School resource officers and exclusionary discipline in US high schools: A systematic review and meta-analysis. Adolescent Research Review, 1(3), 217–233.
17.
FranksK. A.MaroulisS.DuongM.KelceyB. (2013). What would it take to change an inference? Using Rubin’s causal model to interpret the robustness of causal inferences. Education, Evaluation, and Policy Analysis, 35, 437–460.
GerlingerJ.VianoS.GardellaJ. H.FisherB. W.Chris CurranF.HigginsE. M. (2021). Exclusionary school discipline and delinquent outcomes: A meta-analysis. Journal of Youth and Adolescence, 50(8), 1493–1509.
20.
GibsonP.HaightW.ChoM.NashandiN. J.YoonY. J. (2019). A mixed methods study of Black girls’ vulnerability to out-of-school suspensions: The intersection of race and gender. Children and Youth Services Review, 102, 169–176.
21.
GiordanoK.InterraV. L.StilloG. C.MimsA. T.Block-LernerJ. (2021). Associations between child and administrator race and suspension and expulsion rates in community childcare programs. Early Childhood Education Journal, 49(1), 125–133.
22.
Glenn PaulD.AraneoJ. (2019). “Orange is the new black” comes to New Jersey’s public schools: Black girls and disproportionate rates of out-of-school suspensions and expulsions. The Urban Review, 51(2), 326–343.
HemphillS. A.HeerdeJ. A.HerrenkohlT. I.ToumbourouJ. W.CatalanoR. F. (2012b). The impact of school suspension on student tobacco use: A longitudinal study in Victoria, Australia, and Washington State, United States. Health Education & Behavior, 39(1), 45–56.
25.
HemphillS. A.HerrenkohlT. I.PlentyS. M.ToumbourouJ. W.CatalanoR. F.McMorrisB. J. (2012a). 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.
26.
Hines-DitariD.Carter AndrewsD. J. (2020). The effects of zero tolerance policies on Black girls: Using critical race feminism and figured worlds to examine school discipline. Urban Education, 55(10), 1419–1440.
27.
ImaiK.KingG.StuartE. A. (2008). Misunderstandings between experimentalists and observationalists about causal inference. Journal of the Royal Statistical Society, Series A, 171, 481–501.
28.
JacksonD.TestaA.TodićJ.Leos-MartinezJ. (2022). Exclusionary school discipline during childhood and adolescent police encounters. Deviant Behavior, 43(5), 573–592.
Kempf-LeonardK. (2007). Minority youths and juvenile justice: Disproportionate minority contact after nearly 20 years of reform efforts. Youth Violence and Juvenile Justice, 5(1), 71–87.
31.
KleinkeK. (2017). Multiple imputation under violated distributional assumptions: A systematic evaluation of the assumed robustness of predictive mean matching. Journal of Educational and Behavioral Statistics, 42(4), 371–404.
32.
KrohnM. D.ThornberryT. P.GibsonC. L.BaldwinJ. M. (2010). The development and impact of self-report measures of crime and delinquency. Journal of Quantitative Criminology, 26(4), 509–525.
33.
KupchikA. (2016). The real school safety problem: The long-term consequences of harsh school punishment. University of California Press.
34.
KurlychekM. C.JohnsonB. D. (2019). Cumulative disadvantage in the American criminal justice system. Annual Review of Criminology, 2, 291–319.
35.
Ladson-BillingsG.TateW. F. (1995). Toward a critical race theory of education. Teachers College Record, 97(1), 47–68.
36.
LebanL.MastersonM. (2022). The impact of childhood school suspension on dropout and arrest in adolescence: Disparate relationships by race and adverse childhood experiences. Criminal Justice and Behavior, 49(4), 550–569. https://doi.org/10.1177/00938548211041387
37.
LehmannP. S.MeldrumR. C. (2021). School suspension in Florida: The interactive effects of race, ethnicity, gender, and academic achievement. Justice Quarterly, 38(3), 479–512.
38.
LeiteW. L. (2017). Practical propensity score methods using R. SAGE.
39.
LeiteW. L.AydinB. (2016, April). A comparison of methods for imputation of missing covariate data prior to propensity score analysis [Paper presentation]. American Education Research Association Conference, Washington, DC, United States.
40.
LeiteW. L.AydinB.GurelS. (2018). A Comparison of propensity score weighting methods for evaluating the effects of programs with multiple versions. The Journal of Experimental Education, 87(1), 1–14.
41.
LeiteW. L.StapletonL. M.BettiniE. F. (2019). Propensity score analysis of complex survey data with structural equation modeling: A tutorial with Mplus. Structural Equation Modeling: A Multidisciplinary Journal, 26(3), 448–469.
42.
LibermanA. M.KirkD. S.KimK. (2014). Labeling effects of first juvenile arrests: Secondary deviance and secondary sanctioning. Criminology, 52(3), 345–370.
43.
LoeberR.FarringtonD. P. (2001). Child delinquents. SAGE.
44.
MatzaD. (1969). Becoming deviant. Prentice Hall.
45.
MayD. C.BarrancoR.StokesE.RobertsonA. A.HaynesS. H. (2018). Do school resource officers really refer juveniles to the juvenile justice system for less serious offenses?Criminal Justice Policy Review, 29(1), 89–105.
46.
McIntoshK.GirvanE. J.Fairbanks FalconS.McDanielS. C.SmolkowskiK.BastableE.Santiago-RosarioM. R.IzzardS.AustinS. C.NeseR. N. T.BaldyT. S. (2021). Equity-focused PBIS approach reduces racial inequities in school discipline: A randomized controlled trial. School Psychology, 36(6), 433–444. https://doi.org/10.1037/spq0000466
47.
MendezL. M. R.KnoffH. M.FerronJ. M. (2002). School demographic variables and out-of-school suspension rates: A quantitative and qualitative analysis of a large, ethnically diverse school district. Psychology in the Schools, 39(3), 259–277.
48.
MittlemanJ. (2018). A downward spiral? Childhood suspension and the path to juvenile arrest. Sociology of Education, 91(3), 183–204.
49.
MonahanK. C.VanDerheiS.BechtoldJ.CauffmanE. (2014). From the school yard to the squad car: School discipline, truancy, and arrest. Journal of Youth and Adolescence, 43(7), 1110–1122.
50.
MorrisM. (2016). Pushout: The criminalization of Black girls in schools. The New Press.
51.
MowenT.BrentJ. (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.
NovakA. (2021). Trajectories of exclusionary discipline: Risk factors and associated outcomes. Journal of School Violence, 20(2), 182–194.
55.
NovakA.FaganA. (2022). Expanding research on the school-to-prison pipeline: Examining the relationships between suspension, expulsion, and recidivism among justice-involved youth. Crime & Delinquency, 68(1), 3–27. https://doi.org/10.1177/0011128721999334
56.
ParksC.WallaceB. C.EmdinC.LevyI. P. (2016). An examination of gendered violence and school push-out directed against urban black girls/adolescents: Illustrative data, cases and a call to action. Journal of Infant, Child, and Adolescent Psychotherapy, 15(3), 210–219.
57.
PaternosterR.IovanniI. (1989). The labeling perspective and delinquency: An elaboration of the theory and an assessment of the evidence. Justice Quarterly, 6(3), 359–395.
58.
PattersonG. R.YoergerK. (1993). Developmental models for delinquent behavior. In HodginsS. (Ed.), Mental disorder and crime (pp. 140–172). SAGE.
59.
PryorM.BuchananK. S.GoffP. A. (2020). Risky situations: Sources of racial disparity in police behavior. Annual Review of Law and Social Science, 16, 343–360.
60.
QuinD.HemphillS. A. (2014). Students’ experiences of school suspension. Health Promotion Journal of Australia, 25(1), 52–58.
61.
RiosV. M. (2011). Punished: Policing the lives of Black and Latino boys. New York University Press.
62.
RiosV. M. (2017). Human targets: Schools, police, and the criminalization of Latino youth. University of Chicago Press.
63.
RunyanD. K.CurtisP. A.HunterW. M.BlackM. M.KotchJ. B.BangdiwalaS.DubowitzH.EnglishD.EversonM. D.LandsverkJ. (1998). LONGSCAN: A consortium for longitudinal studies of maltreatment and the life course of children. Aggression and Violent Behavior, 3(3), 275–285.
SampsonR. J.LaubJ. H. (1993). Crime in the making: Pathways and turning points through the life. Harvard University Press.
66.
SampsonR. J.LaubJ. H. (1997). A life-course theory of cumulative disadvantage and the stability of delinquency. In ThonrberryT. (Ed.), Developmental theories of crime and delinquency (pp. 133–161). Routledge.
67.
ShollenbergerT. L. (2015). Racial disparities in school suspension and subsequent outcomes. In LosenD. (Ed.), Closing the school discipline gap: Equitable remedies for excessive exclusion (pp. 31–43). Teachers College Press.
68.
SnyderH. N. (2003). Prevalence and development of child delinquency. Office of Juvenile Justice and Delinquency Prevention, Office of Justice Programs, US Department of Justice.
69.
WolfK. C.KupchikA. (2017). School suspensions and adverse experiences in adulthood. Justice Quarterly, 34(3), 407–430.
70.
YangJ.AnyonY. (2016). Race and risk behaviors: The mediating role of school bonding. Children and Youth Services Review, 69, 39–48.
71.
YangM. Y.HarmeyerE.ChenZ.LofasoB. M. (2018). Predictors of early elementary school suspension by gender: A longitudinal multilevel analysis. Children and Youth Services Review, 93, 331–338.
72.
ZengS.CorrC. P.O’GradyC.GuanY. (2019). Adverse childhood experiences and preschool suspension expulsion: A population study. Child Abuse & Neglect, 97, Article 104149.
