Juvenile delinquency is a persistent problem in the United States, and students with disabilities are particularly vulnerable to become recidivists. This study examined patterns of and factors associated with recidivism. The sample included 5,435 juveniles with disabilities. Findings indicated intragroup variability regarding the number of referrals and the percentages of adolescents who were adjudicated, had a record of determinate commitment, and had a record of probation. African American males who were from delinquent families tended to have more referrals than adolescents from poorer families with fewer family problems. There is a need to examine further the reasons why certain groups of adolescents with disabilities are more likely to become recidivists and a need to develop intervention strategies that are effective in reducing juvenile offenses committed by these groups. A promising intervention that may ameliorate the effects of family criminal history involves the implementation of wraparound and family empowerment services.
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References
1.
Alexander S. v. Boyd, 876 F. Supp. 773 (D. S.C. 1995).
2.
AlltuckerK. W.BullisM.CloseD.YovanoffP. (2006). Different pathways to juvenile delinquency: Characteristics of early and late starters in a sample of previously incarcerated youth. Journal of Child and Family Studies, 15, 475–488.
3.
BarrettD. E.KatsiyannisA.ZhangD. (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.
4.
BarrettD. E.KatsiyannisA.ZhangD. (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.
5.
BelenkoS. (2006). Assessing released inmates for substance-abuse related service needs. Crime and Delinquency, 52, 94–113.
6.
BrunnerM. S. (1993). Reduced recidivism and increased employment opportunity through research-based reading instruction (NCJ Publication No. 141324). Washington, DC: Office of Juvenile Justice and Delinquency Prevention. (ERIC Document Reproduction Service No. ED361646).
7.
BullisM.YovanoffP. (2005). More alike than different? Comparison of formerly incarcerated youth with and without disabilities. Journal of Child and Family Studies, 14, 127–139.
8.
BullisM.YovanoffP.MuellerG.HavelE. (2002). Life on the “outs”—examination of the facility-to-community transition of incarcerated youth. Exceptional Children, 69, 7–22.
9.
CarneyM. M.ButtellF. (2003). Reducing juvenile recidivism: Evaluating the wraparound services model. Research on Social Work Practice, 13, 551–568.
10.
CervenkaK. A.DemboR.BrownC. H. (1996). A family empowerment intervention for families of juvenile offenders. Aggression and Violent Behavior, 1, 205–216.
11.
CottleC. C.LeeR. J.HeilbrunK. (2001). The prediction of criminal recidivism in juveniles. Criminal Justice and Behavior, 28, 367–394.
DemboR.SchmeidlerJ.Nini-GoughB.ManningD. (1998). Sociodemographic, delinquency-abuse history, and psychosocial functioning differences among juvenile offenders of various ages. Journal of Child & Adolescent Substance Abuse, 8, 63–78.
14.
DemboR.WarehamJ.SchmeidlerJ. (2007). Drug use and delinquent behavior: A growth model of parallel processes among high-risk youths. Criminal Justice and Behavior, 34, 680–696.
15.
FarringtonD. P.JollifeD.LoeberR.Stouthammer-LoeberM.KalbL. M. (2001). The concentration of offenders in families, and family criminality in the prediction of boys' delinquency. Journal of Adolescence, 24, 579–596.
16.
GavazziS. M.YarcheckC. M.SullivanJ. M.JonesS. C.KhuranaA. (2008). Global risk factors and the prediction of recidivism rates in a sample of first-time misdemeanant offenders. International Journal of Offender Therapy and Comparative Criminology, 52, 330–345.
17.
GendreauP.LittleT.GogginC. (1996). A meta-analysis of the predictors of adult offender recidivism: What works!Criminology, 34, 575–607.
18.
HagellA.NewburnT. (1996). Family and social contexts of adolescent re-offenders. Journal of Adolescence, 19, 5–18.
19.
HardenB. J. (2004). Safety and stability for foster children: A developmental perspective. The Future of Children, 14, 31–47.
20.
HesterbergT.MooreD. S.MonaghanS.ClipsonA.EpsteinR. (2006). Bootstrap methods and permutation tests. In MooreD. S.McCabeG. P. (Eds.), Introduction to the practice of statistics (5th ed., pp. 14–1–14–70). New York, NY: Freeman. Retrieved from http://bcs.whfreeman.com/ips5e/content/cat_080/pdf/moore14.pdf.
21.
HoeveM.DubasJ. S.EichelsheimV. I.van der LaanP. H.SmeenkW.GerrisJ. R. (2009). The relationship between parenting and delinquency: A meta-analysis. Journal of Abnormal Child Psychology, 37, 749–775.
22.
JohnsonD. E. (1998). Applied multivariate methods for data analysts. Pacific Grove, CA: Duxbury Press.
23.
KatsiyannisA.ArchwametyT. (1997). Factors related to recidivism among delinquent youths in a state correctional facility. Journal of Child and Family Studies, 6, 43–57.
24.
KatsiyannisA.ArchwametyT. (1999). Academic remediation/achievement and other factors related to recidivism rates among delinquent youths. Behavioral Disorders, 24, 93–101.
25.
KatsiyannisA.MurrayF. (2000). Juvenile delinquents with disabilities: Legal and practice considerations. Journal of Child and Family Studies, 9, 75–86.
26.
KatsiyannisA.RyanJ. B.ZhangD.SpannA. (2008). Juvenile delinquency and recidivism: The impact of academic achievement. Reading & Writing Quarterly, 24, 177–196.
27.
KatsiyannisA.ZhangD.BarrettD. E. (2004). Background and psychosocial variables associated with recidivism among adolescent males: A 3-year investigation. Journal of Emotional and Behavioral Disorders, 12, 23–29.
28.
KrezmienM. P.MulcahyC. A.LeoneP. E. (2008). Detained and committed youth: Examining differences in achievement, mental health needs, and special education status. Education and Treatment of Children, 31, 445–464.
LeoneP. E.MeiselS. (1997). Improving education services for students in detention and confinement facilities. Children's Legal Rights Journal, 17, 2–12.
31.
LipseyM. W.DerzonJ. H. (1998). Predictors of violent or serious delinquency in adolescence and early adulthood. In LoeberR.FarringtonD. P. (Eds.), Serious and violent juvenile offenders: Risk factors and successful interventions (pp. 86–105). Thousand Oaks, CA: Sage.
32.
LoeberR.FarringtonD. P. (2001). Child delinquents: Development, intervention, and service needs. Thousand Oaks, CA: Sage.
33.
LoeberR.GreenS. M.LaheyB. B.FrickP. J.McBurnettK. (2000). Findings on disruptive behavior disorders from the first decade of the developmental trends study. Clinical Child and Family Psychology Review, 3, 37–60.
34.
MalmgrenK.LeoneP. (2000). Effects of an auxiliary program on the reading skills of juvenile delinquents. Education and Treatment of Children, 28, 239–247.
35.
MorrisK. A.MorrisR. J. (2006). Disability and juvenile delinquency: Issues and trends. Disability and Society, 21, 613–627.
36.
MuthénB. O. (2004). Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. In KaplanD. (Ed.), The SAGE handbook of quantitative methodology for the social sciences (pp. 345–368). Thousand Oaks, CA: Sage.
37.
MuthénL. K.MuthénB. O. (2007). Mplus user's guide (5th ed.). Los Angeles, CA: Muthén & Muthén.
38.
NelsonC. M.LeoneP.RutherfordR. B. (2004). Youth delinquency: Prevention and intervention research. In RutherfordR. B.QuinnM. M.MathurS. (Eds.), Handbook of research in emotional and behavioral disorders (pp. 282–301). New York, NY: Guilford.
39.
NiarhosF. J.RouthD. K. (1992). The role of clinical assessment in the juvenile court: Predictors of juvenile dispositions and recidivism. Journal of Clinical Child Psychology, 21, 151–159.
40.
NorrbinS. C.RasmussenD. W.Von-FrankD. M. (2004). Using civil representation to reduce delinquency among troubled youth. Evaluation Review, 28, 201–217.
41.
NylundK. L.AsparouhovT.MuthénB. O. (2007). Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Structural Equation Modeling, 14, 535–569.
42.
Office of Applied Studies. (2003). National survey of substance abuse treatment services (N-SSATS): 2003. Arlington, VA: U.S. Department of Health and Human Services. Retrieved from http://wwwdasis.samhsa.gov/03nssats/nssats_rpt_03.pdf.
43.
QuinnM. M.RutherfordR. B.LeoneP. E.OsherD. M.PoirerJ. M. (2005). Youth with disabilities in juvenile corrections: A national survey. Exceptional Children, 71, 339–345.
44.
RyanJ. P.YangH. (2005). Family contact and recidivism: A longitudinal study of adjudicated delinquents in residential care. Social Work Research, 29, 31–39.
45.
SiegelS.CastellanN. J. (1988). Nonparametric statistics for the behavioral sciences (2nd ed.). New York, NY: McGraw-Hill.
46.
SnyderH. (2008, November). Juvenile arrests 2006. Washington, DC: U.S. Department of Justice, Office of Juvenile Justice and Delinquency Prevention. Retrieved from http://www.ncjrs.gov/pdffiles1/ojjdp/221338.pdf.
U.S. Department of Education. (2002). Twenty-fourth annual report to Congress on the implementation of the Individuals With Disabilities Education Act. Washington, DC: Author.
50.
VaccaJ. S. (2008). Crime can be prevented if schools teach juvenile offenders to read. Children and Youth Services Review, 30, 1055–1062.
51.
VermuntJ. K.MagidsonJ. (2002). Latent class cluster analysis. In HagenaarsJ. A.McCutcheonA. L. (Eds.), Applied latent class analysis (pp. 89–106). New York, NY: Cambridge University Press.
