The purpose of this study is to contribute to understanding the school-to-prison pipeline by examining the extent to which low school commitment and deviant peer association mediate the relationship between suspension by age 12 and justice system involvement by age 18. The analysis was performed in two steps using structural equation modeling and data from the LONGSCAN study (N = 837). Results of the full model indicate that suspension by the age of 12 is associated with justice system involvement directly and indirectly. Directly, youth who are suspended by age 12 are more likely to report justice system involvement at age 18; indirectly, these youth are more likely to associate with deviant peers in adolescence, increasing their odds of justice system involvement.
AchenbachT. M. (1991a). Manual for the child behavior checklist. Burlington: Department of Psychiatry, University of Vermont.
2.
AchenbachT. M. (1991b). Manual for the teacher’s report form and 1991 profile. Burlington: Department of Psychiatry, University of Vermont.
3.
AgnewR. (1991). The interactive effects of peer variables on delinquency. Criminology, 29, 47-72.
4.
AgrestiA. (2013). Categorial data analysis (3rd ed.). Hoboken, NJ: John Wiley.
5.
BandalosD. L. (2008). Is parceling really necessary? A comparison of results from item parceling and categorical variable methodology. Structural Equation Modeling, 15, 211-240.
6.
BradshawC. P.ReinkeW. M.BrownL. D.BevansK. B.LeafP. J. (2008). Implementation of school-wide positive behavioral interventions and supports (PBIS) in elementary schools: Observations from a randomized trial. Education and Treatment of Children, 31, 1-26.
7.
CernkovichS. A.GiordanoP. C. (1992). School bonding, race, and delinquency. Criminology, 30, 261-291.
8.
ChristleC. A.NelsonC. M.JolivetteK. (2004). School characteristics related to the use of suspension. Education and Treatment of Children, 27, 509-526.
CostenbaderV.MarksonS. (1998). School suspension: A study with secondary school students. Journal of School Psychology, 36, 59-82.
11.
CottleC. C.LeeR. J.HeilbrunK. (2001). The prediction of criminal recidivism in juveniles: A meta-analysis. Criminal Justice and Behavior, 28, 367-394.
12.
DaigleL. E.CullenF. T.WrightJ. P. (2007). Gender differences in the predictors of juvenile delinquency: Assessing the generality-specificity debate. Youth Violence and Juvenile Justice, 5, 254-286.
13.
EckenrodeJ.LairdM.DorisJ. (1993). School performance and disciplinary problems among abused and neglected children. Developmental Psychology, 29, 53-62.
14.
ElliottD. S.AgetonS. S.CanterR. J. (1979). An integrated theoretical perspective on delinquent behavior. Journal of Research in Crime and Delinquency, 16, 3-27.
15.
EmbryD. D. (2002). The good behavior game: A best practice candidate as a universal behavioral vaccine. Clinical Child and Family Psychology Review, 5, 273-297.
16.
EmmertA. D.CarlockA. L.LizotteA. J.KrohnM. D. (2017). Predicting adult under- and over-reporting of self-reported arrests from discrepancies in adolescent self-reports of arrests: A research note. Crime & Delinquency, 63, 412-428.
FinneyS. J.DiStefanoC. (2006). Non-normal and categorical data in structural equation modeling. Structural Equation Modeling: A Second Course, 10, 269-314.
19.
HawkinsJ. D.CatalanoR. F.MillerJ. Y. (1992). Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: Implications for substance abuse prevention. Psychological Bulletin, 112, 64-105.
20.
HeitzegN. A. (2009). Education or incarceration: Zero tolerance policies and the school to prison pipeline. Forum on Public Policy Online. Retrieved from https://files.eric.ed.gov/fulltext/EJ870076.pdf
21.
HemphillS. A.HerrenkohlT. I.PlentyS. M.ToumbourouJ. W.CatalanoR. F.McMorrisB. 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, 301-318.
22.
HemphillS. A.ToumbourouJ. W.HerrenkohlT. I.McMorrisB. J.CatalanoR. F. (2006). The effect of school suspensions and arrests on subsequent adolescent antisocial behavior in Australia and the United States. Journal of Adolescent Health, 39, 736-744.
23.
HerrenkohlT. I.MaguinE.HillK. G.HawkinsJ. D.AbbottR. D.CatalanoR. F. (2000). Developmental risk factors for youth violence. Journal of Adolescent Health, 26, 176-186.
24.
HirschfieldP. J. (2008). Preparing for prison? The criminalization of school discipline in the USA. Theoretical Criminology, 12, 79-101.
25.
HuL. T.BentlerP. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6, 1-55.
26.
JaggersJ. W.RobisonS. B.RhodesJ. L. F.GuanX.ChurchW. T. (2016). Predicting adult criminality among Louisiana’s urban youth: Poverty, academic risk, and delinquency. Journal of the Society for Social Work and Research, 7, 89-116.
27.
JenkinsP. H. (1997). School delinquency and the school social bond. Journal of Research in Crime and Delinquency, 34, 337-367.
28.
JimersonS. R.CamposE.GreifJ. L. (2003). Toward an understanding of definitions and measures of school engagement and related terms. The California School Psychologist, 8, 7-27.
29.
KarpD. R.BreslinB. (2001). Restorative justice in school communities. Youth & Society, 33, 249-272.
30.
KeenanK.LoeberR.ZhangQ.Stouthamer-LoeberM.Van KammenW. B. (1995). The influence of deviant peers on the development of boys’ disruptive and delinquent behavior: A temporal analysis. Development and Psychopathology, 7, 715-726.
31.
KellamS. G.MackenzieA. C.BrownC. H.PoduskaJ. M.WangW.PetrasH.WilcoxH. C. (2011). The good behavior game and the future of prevention and treatment. Addiction Science & Clinical Practice, 6, 73-84.
32.
KennedyA. C.BennettL. (2006). Urban adolescent mothers exposed to community, family, and partner violence: Is cumulative violence exposure a barrier to school performance and participation?Journal of Interpersonal Violence, 21, 750-773.
33.
KimC. Y. (2009). Procedures for public law remediation in school-to-prison pipeline litigation: Lessons learned from Antoine v. Winner School District. New York Law School Law Review, 54, 955-974.
34.
KlineR. B. (2016). Principles and practice of structural equation modeling. New York, NY: The Guilford Press.
35.
LemertE. M. (1951). Social pathology: A systematic approach to the theory of sociopathic behavior. New York, NY: McGraw-Hill.
36.
LoeberR. (1990). Development and risk factors of juvenile antisocial behavior and delinquency. Clinical Psychology Review, 10, 1-41.
MaimonD.AntonaccioO.FrenchM. T. (2012). Severe sanctions, easy choice? Investigating the role of school sanctions in preventing adolescent violent offending. Criminology, 50, 495-524.
39.
MenardS.ElliottD. S. (1994). Delinquent bonding, moral beliefs, and illegal behavior: A three-wave panel model. Justice Quarterly, 11, 173-188.
40.
MonahanK. C.VanDerheiS.BechtoldJ.CauffmanE. (2014). From the school yard to the squad care: School discipline, truancy, and arrest. Journal of Youth and Adolescence, 43, 1110-1122.
41.
MonganP.WalkerR. (2012). “the road to hell is paved with good intentions”: A historical, theoretical, and legal analysis of zero-tolerance weapons policies in American schools. Preventing School Failure: Alternative Education for Children and Youth, 56, 232-240.
42.
MowenT.BrentJ. (2016). School discipline as a turning point: The cumulative effect of suspension on arrest. Journal of Research in Crime and Delinquency, 53, 628-653.
43.
MuthénL. K.MuthénB. O. (2010). Mplus user’s guide: Statistical analysis with latent variables. Los Angeles, CA: Muthén & Muthén.
44.
NaginD. S. (1998). Criminal deterrence research at the outset of the twenty-first century. Crime and Justice, 23, 1-42.
45.
NaginD. S. (2003). Deterrence in the twenty-first century. Crime and Justice, 42, 199-263.
NoltemeyerA. L.WardR. M.McloughlinC. (2015). Relationship between school suspension and student outcomes: A meta-analysis. School Psychology Review, 44, 224-240.
48.
OlweusD. (1979). Stability of aggressive reaction patterns in males: A review. Psychological Bulletin, 86, 852-875.
49.
PiqueroA. R.SchubertC. A.BrameR. (2014). Comparing official and self-report records of offending across gender and race/ethnicity in a longitudinal study of serious youthful offenders. Journal of Research in Crime and Delinquency, 51, 526-556.
50.
PrattT. C.CullenF. T.BlevinsK. R.DaigleL. E.MadensenT. D. (2006). The empirical status of deterrence theory: A meta-analysis. In CullenF. T.WrightJ. P.BlevinsK. R. (Eds.), Taking stock: The status of criminological theory (pp. 367-396). New York, NY: Routledge.
51.
PrattT. C.CullenF. T.SellersC. S.Thomas WinfreeJrL.MadensenT. D.DaigleL. E.. . . GauJ. M. (2010). The empirical status of social learning theory: A meta-analysis. Justice Quarterly, 27, 765-802.
52.
QuinnM. M.RutherfordR. B.LeoneP. E.OsherD. M.PoirierJ. M. (2005). Youth with disabilities in juvenile corrections: A national survey. Exceptional Children, 71, 339-345.
53.
Raffaele-MendezL. M. (2003). Predictors of suspension and negative school outcomes: A longitudinal investigation. New Directions for Student Leadership, 2003, 17-33.
54.
RosarioM.SalzingerS.FeldmanR. S.Ng-MakD. S. (2003). Community violence exposure and delinquent behaviors among youth: The moderating role of coping. Journal of Community Psychology, 31, 489-512.
55.
RosenbaumJ. (2018). Educational and criminal outcomes 12 years after suspension. Youth & Society. Advance online publication. https://doi.org/10.1177/0044118X17752208
56.
RunyanD. K.CurtisP. A.HunterW. M.BlackM. M.KotchJ. B.BangdiwalaS.. . . LandsverkJ. (1998). LONGSCAN: A consortium for longitudinal studies of maltreatment and the life course of children. Aggression and Violent Behavior, 3, 275-285.
57.
SampsonR. J.LaubJ. H. (1992). Crime and deviance in the life course. Annual Review of Sociology, 18, 63-84.
58.
SimonsW. U. C. I.CongerR. D.LorenzF. O. (1994). Two routes to delinquency: Differences between early and late starters in the impact of parenting and deviant peers. Criminology, 32, 247-276.
59.
SkibaR. J.ArredondoM. I.WilliamsN. T. (2014a). More than a metaphor: The contribution of exclusionary discipline to a school-to-prison pipeline. Equity & Excellence in Education, 47, 546-564.
60.
SkibaR. J.ChungC. G.TrachokM.BakerT. L.SheyaA.HughesR. L. (2014b). Parsing disciplinary disproportionality: Contributions of infraction, student, and school characteristics to out-of-school suspension and expulsion. American Educational Research Journal, 51, 640-670.
61.
SnyderJ.DishionT. J.PattersonG. R. (1986). Determinants and consequences of associating with deviant peers during preadolescence and adolescence. The Journal of Early Adolescence, 6, 29-43.
62.
StewartE. A. (2003). School social bonds, school climate, and school misbehavior: A multilevel analysis. Justice Quarterly, 20, 575-604.
63.
SullivanA. L.KlingbeilD. A.Van NormanE. R. (2013). Beyond behavior: Multilevel analysis of the influence of sociodemographics and school characteristics on students’ risk of suspension. School Psychology Review, 42, 99-114.
64.
ThornberryT. P.KrohnM. D. (1997). Peers, drug use, and delinquency. In StoffD. M.BreilingJ.MaserJ. D. (Eds.), Handbook of antisocial behavior (pp. 218-233). Hoboken, NJ: John Wiley.
65.
WaldJ.LosenD. J. (2003). Defining and redirecting a school-to-prison pipeline. New Directions for Youth Development, 2003, 9-15.
66.
WallaceJ. M.Jr.GoodkindS.WallaceC. M.BachmanJ. G. (2008). Racial, ethnic, and gender differences in school discipline among US high school students: 1991-2005. The Negro Educational Review, 59, 47-62.
67.
WayS. M. (2011). School discipline and disruptive classroom behavior: The moderating effects of student perceptions. The Sociological Quarterly, 52, 346-375.
68.
WelshW. N.GreeneJ. R.JenkinsP. H. (1999). School disorder: The influence of individual, institutional, and community factors. Criminology, 37, 73-116.
