Hostname: page-component-78c5997874-94fs2 Total loading time: 0 Render date: 2024-11-19T11:01:15.908Z Has data issue: false hasContentIssue false

Trajectories of desistance and continuity in antisocial behavior following court adjudication among serious adolescent offenders

Published online by Cambridge University Press:  28 April 2010

Edward P. Mulvey*
Affiliation:
University of Pittsburgh
Laurence Steinberg
Affiliation:
Temple University
Alex R. Piquero
Affiliation:
Florida State University
Michelle Besana
Affiliation:
University of Philippines Vasayas
Jeffrey Fagan
Affiliation:
Columbia University
Carol Schubert
Affiliation:
University of Pittsburgh Medical Center
Elizabeth Cauffman
Affiliation:
University of California–Irvine
*
Address correspondence and reprint requests to: Edward P. Mulvey, Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O'Hara Street, Pittsburgh, PA 15213; E-mail: [email protected].

Abstract

Because many serious adolescent offenders reduce their antisocial behavior after court involvement, understanding the patterns and mechanisms of the process of desistance from criminal activity is essential for developing effective interventions and legal policy. This study examined patterns of self-reported antisocial behavior over a 3-year period after court involvement in a sample of 1,119 serious male adolescent offenders. Using growth mixture models, and incorporating time at risk for offending in the community, we identified five trajectory groups, including a “persister” group (8.7% of the sample) and a “desister” group (14.6% of the sample). Case characteristics (age, ethnicity, antisocial history, deviant peers, a criminal father, substance use, psychosocial maturity) differentiated the five trajectory groups well, but did not effectively differentiate the persisting from desisting group. We show that even the most serious adolescent offenders report relatively low levels of antisocial activity after court involvement, but that distinguishing effectively between high-frequency offenders who desist and those who persist requires further consideration of potentially important dynamic factors related to this process.

Type
Regular Articles
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abram, K. M., Teplin, L. A., McClelland, G. M., & Dulcan, M. K. (2003). Comorbid psychiatric disorders in youth detention. Archives of General Psychiatry, 60, 10971108.CrossRefGoogle Scholar
Allison, P. (1999). Logistic regression using the SAS system. Cary, NC: SAS Institute.Google Scholar
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (1996). Mechanisms of moral disengagement in the exercise of moral agency. Journal of Personality and Social Psychology, 71, 364374.Google Scholar
Brame, R., Fagan, J., Piquero, A., Schubert, C. A., & Steinberg, L. (2004). Criminal careers of serious delinquents in two cities. Youth Violence and Juvenile Justice, 2, 256272.CrossRefGoogle ScholarPubMed
Broidy, L., Nagin, D. S., Tremblay, R., Bates, J. E., Brame, R., Dodge, K., et al. (2003). Developmental trajectories of childhood disruptive behaviors and adolescent delinquency: A six-site, cross-national study. Developmental Psychology, 39, 222245.CrossRefGoogle ScholarPubMed
Bushway, S., Piquero, A., Broidy, L., Cauffman, E., & Mazerolle, P. (2001). An empirical framework for studying desistance as a process. Criminology, 39, 491515.CrossRefGoogle Scholar
Campbell, M. A., & Schmidt, F. (2000). Comparison of mental health and legal factors in the disposition outcome of young offenders. Criminal Justice and Behavior, 27, 688715.CrossRefGoogle Scholar
Cauffman, E., Piquero, A. R., Kimonis, E., Steinberg, L., Chassin, L., & Fagan, J. (2007). Legal, individual, and environmental predictors of court disposition in a sample of serious adolescent offenders. Law & Human Behavior. 31, 519535.CrossRefGoogle Scholar
Cauffman, E., & Steinberg, L. (2000). (Im)maturity of judgment in adolescence: Why adolescents may be less culpable than adults. Behavioral Sciences and the Law, 18, 741760.CrossRefGoogle ScholarPubMed
Cauffman, E., Steinberg, L., & Piquero, A. (2005). Psychological, neuropsychological and psychophysiological correlates of serious antisocial behavior in adolescence. Criminology, 43, 133176.Google Scholar
Cauffman, E., & Woolard, J. (1999). The Future Outlook Inventory. Unpublished manuscript.Google Scholar
Chassin, L., Rogosch, F., & Barrera, M. (1991). Substance use and symptomatology among adolescent children of alcoholics. Journal of Abnormal Psychology, 100, 449463.CrossRefGoogle ScholarPubMed
Chassin, L., Knight, G., Vargas-Chanes, D., Losoya, S., & Naranjo, D. (in press). Substance use treatment outcomes in a sample of serious juvenile offenders. Journal of Substance Abuse Treatment.Google Scholar
Chung, H. L., & Steinberg, L. (2006). Relations between neighborhood factors, parenting behaviors, peer deviance, and delinquency among serious juvenile offenders. Developmental Psychology, 42, 319331.CrossRefGoogle ScholarPubMed
Coie, J. D., & Dodge, K. A. (1998). Aggression and antisocial behavior. In Damon, W. & Eisenberg, N. (Eds.), Handbook of child psychology: Vol. 3. Social, emotional, and personality development (5th ed., pp. 779862). Hoboken, NJ: Wiley.Google Scholar
Conger, R., Ge, X., Elder, G. J., Lorenz, F., & Simons, R. (1994). Economic stress, coercive family process, and developmental problems of adolescents. Child Development, 65, 541561.CrossRefGoogle ScholarPubMed
D'Amico, E. J., Edelen, M., Miles, J. N. V., & Morral, A. R. (2008). The longitudinal association between substance use and delinquency among high-risk youth. Drug and Alcohol Dependence 93, 8592.CrossRefGoogle ScholarPubMed
D'Unger, A. V., Land, K. C., McCall, P. L., & Nagin, D. S. (1998). How many latent classes of delinquent/criminal careers? Results from mixed Poisson regression analyses of the London, Philadelphia, and Racine cohort studies. American Journal of Sociology, 103, 15931630.Google Scholar
Dembo, R., Wareham, J., & Schmeidler, J. (2007). Drug use and delinquent behavior: A growth model of parallel processes among high-risk youths. Criminal Justice and Behavior, 34, 680696.CrossRefGoogle Scholar
Eggleston, E., Laub, J. H., & Sampson, R. (2004). Methodological sensitivities to latent class analysis of long-term criminal trajectories. Journal of Quantitative Criminology, 20, 126.Google Scholar
Elliott, D. S. (1990). National Youth Survey. Denver, CO: University of Colorado, Institute of Behavioral Science.Google Scholar
Elliott, D. S. (1994). Serious violent offenders: Onset, developmental course, and termination. The American Society of Criminology 1993 Presidential Address. Criminology, 32, 121.CrossRefGoogle Scholar
Elliott, D. S., & Huizinga, D. (1987). The relationship between delinquent behavior and ADM problems. Paper presented at the ADAMHA/OJJDP Research Conference on Juvenile Offenders with Serious Drug, Alcohol and Mental Health Problems, Washington, DC.Google Scholar
Ezell, M. E., & Cohen, L. E. (2005). Desisting from crime: Continuity and change in long-term crime patterns of serious chronic offenders. Oxford: Oxford University Press.Google Scholar
Fagan, J. (1990). Intoxication and aggression. In Tonry, M. & Wilson, J. Q. (Eds.), Drugs and crime. Crime and justice: A review of the research (Vol. 13, pp. 241321). Chicago: University of Chicago Press.Google Scholar
Fagan, J. (2008). Crime and neighborhood change. In Goldberger, A. & Rosenfeld, R., (Eds.), Understanding crime trends. Washington, DC: National Academy Press.Google Scholar
Fagan, J., & Piquero, A. R. (2007). Rational choice and developmental influences on recidivism among adolescent felony offenders. Journal of Empirical Legal Studies, 4, 715748.CrossRefGoogle ScholarPubMed
Fagan, J., & Tyler, T. (2005). Legal socialization of children and adolescents. Social Justice Research, 18, 217242.Google Scholar
Farrington, D. P. (2004). Conduct disorder, aggression, and delinquency. In Lerner, R. M. & Steinberg, L. (Eds.), Handbook of adolescent psychology (2nd ed., pp. 627664). Hoboken, NJ: Wiley.CrossRefGoogle Scholar
First, M. B., Spitzer, R. L., Gibbon, M., & Williams, J. B. W. (2002). Structured Clinical Interview for DSM-IV Axis I disorders, research version, nonpatient edition (SCID-I/NP). New York: New York State Psychiatric Institute, Biometrics Research.Google Scholar
Francis, B., Soothill, K., & Fligelstone, R. (2004). Identifying patterns and pathways of offending behaviour: A new approach to typologies of crime. European Journal of Criminology, 1, 4887.Google Scholar
Gottfredson, M., & Hirschi, T. (1990). A general theory of crime. Stanford, CA: Stanford University Press.Google Scholar
Greenberger, E., Josselson, R., Knerr, C., & Knerr, B. (1974). The measurement and structure of psychosocial maturity. Journal of Youth and Adolescence, 4, 127143.CrossRefGoogle Scholar
Grisso, T. (2004). Double jeopardy: Adolescent offenders with mental disorder. Chicago: University of Chicago Press.Google Scholar
Haviland, A., & Nagin, D. (2005). Casual inferences with group based trajectory models. Psychometrika, 70, 557578.CrossRefGoogle Scholar
Hawkins, D. F., Laub, J. H., Lauritsen, J. L., & Cothern, L. (2000). Race, ethnicity, and serious and violent juvenile offending. Washington, DC: Office of Juvenile Justice and Delinquency Prevention.Google Scholar
Hindelang, M., Hirschi, T., & Weis, J. (1981). Measuring delinquency. Beverly Hills, CA: Sage.Google Scholar
Hirschi, T., & Gottfredson, M. R. (1995). Control theory and the life-course perspective. Studies on Crime and Crime Prevention, 4, 131142.Google Scholar
Hoge, R. D., Andrews, D. A., & Leschied, A. W. (1995). Investigations of variables associated with probation and custody dispositions in a sample of juveniles. Journal of Clinical Child Psychology, 24, 279286.Google Scholar
Horwitz, A., & Wasserman, M. (1980). Formal rationality, substantive justice, and discrimination: A study of the juvenile court. Law & Human Behavior, 4, 103115.CrossRefGoogle Scholar
Huizinga, D., Esbensen, F., & Weihar, A. W. (1991). Are there multiple paths to delinquency? Journal of Criminal Law & Criminology, 82, 83118.Google Scholar
Jones, B. L., Nagin, D. S., & Roeder, K. (2001). A SAS procedure based on mixed models for estimating developmental trajectories. Sociological Methods & Research, 29, 374393.Google Scholar
Jones, P. R., Harris, P. W., Fader, J., & Grubstein, L. (2001). Identifying chronic juvenile offenders. Justice Quarterly, 18, 479508Google Scholar
Kessler, R. C., Abelson, J., Demler, O., Escobar, J. I., Gibbon, M., Guyer, M. E., et al. (2004). Clinical calibration of DSM-IV diagnoses in the World Mental Health (WMH) version of the World Health Organization (WHO) Composite International Diagnostic Interview (WMH-CIDI). International Journal of Methods in Psychiatric Research, 13, 122139.CrossRefGoogle ScholarPubMed
Kessler, R. C., & Ustün, T. B. (2004). The World Mental Health (WMH) Survey Initiative Version of the World Health Organization (WHO) Composite International Diagnostic Interview (CIDI). International Journal of Methods in Psychiatric Research, 13, 93121.CrossRefGoogle ScholarPubMed
Knight, G., Little, M., Losoya, S., & Mulvey, E. (2004). The self-report of offending among serious juvenile offenders: Cross-gender, cross-ethnic/race measurement equivalence. Youth Violence and Juvenile Justice, 2, 273295.Google Scholar
Kokko, K., Tremblay, R., Lacourse, E., Nagin, D., & Vitaro, F. (2006). Trajectories of prosocial behavior and physical aggression in middle childhood: Links to adolescent school dropout and physical violence. Journal of Research on Adolescence, 16, 403428.CrossRefGoogle Scholar
Lambert, D. (1992). Zero inflated Poisson regression with an application to defects in manufacturing. Technometrics, 34, 113.Google Scholar
Land, K. C., McCall, P., & Nagin, D. S. (1996). A comparison of Poisson, negative binomial, and semi-parametric mixed Poisson regression models with empirical applications to criminal careers data. Sociological Methods & Research, 24, 387440.CrossRefGoogle Scholar
Land, K. C., & Nagin, D. S. (1996). Micro-models of criminal careers: A synthesis of the criminal careers and life course approaches via semi parametric mixed Poisson regression models, with empirical applications. Journal of Quantitative Criminology, 12, 163191.Google Scholar
Laub, J., Nagin, D., & Sampson, R. (1998). Trajectories of change in criminal offending: Good marriages and the desistance process. American Sociological Review, 63, 225238.CrossRefGoogle Scholar
Laub, J., & Sampson, R. (2001). Understanding desistence from crime. In Tonry, M. (Ed.), Crime and justice: An annual review of research (pp. 965). Chicago: University of Chicago Press.Google Scholar
Leventhal, T., & Brooks-Gunn, J. (2004). Diversity in developmental trajectories across adolescence: Neighborhood influences. In Lerner, R. & Steinberg, L. (Eds.), Handbook of adolescent psychology (2nd ed., pp. 451486). Hoboken, NJ: Wiley.Google Scholar
Little, M., & Steinberg, L. (2006). Psychosocial correlates of adolescent drug dealing in the inner city: Potential roles of opportunity, conventional commitments, and maturity. Journal of Research in Crime and Delinquency, 43, 357386.CrossRefGoogle ScholarPubMed
Loeber, R., & Farrington, D. P. (1998). Serious & violent juvenile offenders: Risk factors and successful interventions. In Loeber, R. & Farrington, D. P. (Eds.), Serious & violent juvenile offenders: Risk factors and successful interventions. Thousand Oaks, CA: Sage.Google Scholar
Loughran, T., Mulvey, E., Schubert, C., Fagan, J., Piquero, A., & Losoya, S. (2009). Estimating a dose–response relationship between length of stay and future recidivism in serious juvenile offenders. Criminology, 47, 699740.Google Scholar
Mattila, V. M., Parkkari, J. P., & Rimpela, A. H. (2006). Risk factors for violence and violence related injuries among 14- to 18-year-old Finns. Journal of Adolescent Health, 38, 617620.CrossRefGoogle ScholarPubMed
Mauricio, A. M., Little, M., Chassin, L., Knight, G. P., Piquero, A. R., Losoya, S. H., et al. (2009). Juvenile offenders' alcohol and marijuana trajectories: Risk and protective factor effects in the context of time in a supervised facility. Journal of Youth & Adolescence, 38, 440451.Google Scholar
Matarazzo, A., Carrington, P. J., & Hiscott, R. D. (2001). The effect of prior youth court dispositions on current disposition: An application of societal-reaction theory. Journal of Quantitative Criminology, 17, 169200.Google Scholar
McReynolds, L. S., Wasserman, G. A., DeComo, R. E., John, R., Keating, J. M., & Nolen, S. (2008). Psychiatric disorder in a juvenile assessment center. Crime & Delinquency. 54, 313334.Google Scholar
Monahan, K., Steinberg, L., Cauffman, E., & Mulvey, E. (in press). Trajectories of antisocial behavior and psychosocial maturity from adolescence to young adulthood. Developmental Psychology.Google Scholar
Moretti, M., Odgers, C., & Jackson, M. (Eds.). (2004). Girls and aggression: Contributing factors and intervention principles. New York: Kluwer Academic/Plenum Press.CrossRefGoogle Scholar
Mulvey, E. P., Schubert, C. A., & Chung, H. L. (2007). Service use after court involvement in a sample of serious adolescent offenders. Children and Youth Services Review, 29, 518544.Google Scholar
Mulvey, E. P., Steinberg, L., Fagan, J., Cauffman, E., Piquero, A., Chassin, L., et al. (2004). Theory and research on desistance from antisocial activity among serious adolescent offenders. Youth Violence and Juvenile Justice, 2, 213236.Google Scholar
Mulvey, E. P., & Woolard, J. (1997). Themes for consideration in future research on prevention and intervention with antisocial behaviors. In Stoff, D. M., Breiling, J., & Maser, J. D. (Eds.), Handbook of antisocial behavior (pp. 454460). New York: Wiley.Google Scholar
Muthén, B., & Muthén, L. (2000). Integrating person-centered and variable-centered analyses: Growth mixture modeling with latent trajectory classes. Alcoholism: Alcohol Clinical and Experimental Research, 24, 882891.Google Scholar
Nagin, D. S. (1999). Analyzing developmental trajectories: Semi-parametric, group-based approach. Psychological Methods, 4, 139177.Google Scholar
Nagin, D. S. (2005). Group-based modeling of development. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Nagin, D. S., & Land, K. C. (1993). Age, criminal careers, and population heterogeneity: Specification and estimation of a nonparametric, mixed Poisson model. Criminology, 31, 327362.Google Scholar
Nagin, D. S., & Tremblay, R. E. (1999). Trajectories of boys' physical aggression, opposition, and hyperactivity on the path to physically violent and non-violent juvenile delinquency. Child Development, 70, 11811196.Google Scholar
Nagin, D. S., & Tremblay, R. E. (2005). Developmental trajectory groups: Fact or a useful statistical fiction? Criminology, 43, 873904.Google Scholar
Osgood, D. W., McMorris, B. J., & Potenza, M. T. (2002). Analyzing multiple-item measures of crime and deviance I: Item response theory scaling. Journal of Quantitative Criminology, 18, 267296.CrossRefGoogle Scholar
Patterson, G. R., & Stouthamer-Loeber, M. (1984). The correlation of family management practices and delinquency. Child Development, 55, 12991307.Google Scholar
Piquero, A. R. (2008). Taking stock of developmental trajectories on criminal activity over the life course. In Liberman, A., (Ed.). The long view of crime: A synthesis of longitudinal research. New York: Springer.Google Scholar
Piquero, A. R., Blumstein, A., Brame, R., Haapanen, R., Mulvey, E. P., & Nagin, D. S. (2001). Assessing the impact of exposure time and incapacitation on longitudinal trajectories of criminal offending. Journal of Adolescent Research, 16, 5474.Google Scholar
Piquero, A. R., Brame, R., & Moffitt, T. E. (2005). Extending the study of continuity and change: Gender differences in the linkage between adolescent and adult offending. Journal of Quantitative Criminology, 21, 219243.Google Scholar
Piquero, A. R., Fagan, J., Mulvey, E. P., Steinberg, L., & Odgers, C. (2005). Developmental trajectories of legal socialization among serious adolescent offenders. Journal of Criminal Law & Criminology, 96, 101133.Google Scholar
Piquero, A. R., Farrington, D. P., & Blumstein, A. (2003). The criminal career paradigm. In Tonry, M. (Ed.), Crime and justice: A review of research (Vol. 30, pp. 359506). Chicago: University of Chicago Press.Google Scholar
Piquero, A. R., Farrington, D. P., & Blumstein, A. (2007). Key issues in criminal career research: New analysis of the Cambridge Study in Delinquent Development. Cambridge: Cambridge University Press.Google Scholar
Piquero, A. R., MacDonald, J. M., & Parker, K. E. (2002). Race, local life circumstances, and criminal activity. Social Science Quarterly, 83, 654670.CrossRefGoogle Scholar
Pratt, T. C., & Cullen, F. T. (2000). The empirical status of Gottfredson and Hirschi's general theory of crime: A meta-analysis. Criminology, 38, 931964.CrossRefGoogle Scholar
Redding, R. (1997). Juveniles transferred to criminal court: Legal reform proposals based on social science research. Utah Law Review, 1997, 709763.Google Scholar
Reynolds, C. R., & Richmond, B. O. (1985). Revised Children's Manifest Anxiety Scale (RCMAS) manual. Los Angeles, CA: Western Psychological Services.Google Scholar
Roeder, K., Lynch, K. G., & Nagin, D. S. (1999). Modeling uncertainty in latent class membership: A case study in criminology. Journal of the American Statistical Association 94, 766776.Google Scholar
Samenow, S. (1996). The criminal personality. In The Hatherleigh guide to psychiatric disorders (pp. 137152). New York: Hatherleigh Press.Google Scholar
Sampson, R., & Laub, J. (2005). Seductions of method: Rejoinder to Nagin and Tremblay's “Developmental trajectory groups: Fact or fiction?” Criminology, 43, 905913.Google Scholar
Sampson, R. J., & Bartusch, D. J. (1998). Legal cynicism and tolerance of deviance: The neighborhood context of racial differences. Law and Society Review, 32, 777804.CrossRefGoogle Scholar
Sampson, R. J., & Laub, J. H. (1993). Crime in the making: Pathways and turning points through life. Cambridge, MA: Harvard University Press.Google Scholar
Sampson, R. J., & Laub, J. H. (2003). Life-course desisters? Trajectories of crime among delinquent boys followed to age 70. Criminology, 41, 319339.CrossRefGoogle Scholar
Scheier, M. F., & Carver, C. S. (1985). Optimism, coping, health: Assessment and implications of generalized outcome expectancies. Health Psychology, 4, 219247.Google Scholar
Schubert, C. A., Mulvey, E. P., Steinberg, L., Cauffman, E., Losoya, S. H., Hecker, T., et al. (2004). Operational lessons from the Pathways to Desistance Project. Youth Violence and Juvenile Justice, 2, 237255.Google Scholar
Sher, K. (1981). Alcohol and health study. Unpublished manuscript, University of Missouri.Google Scholar
Srole, L. (1956). Social integration and certain corollaries: An exploratory study. American Sociological Review, 21, 709716.CrossRefGoogle Scholar
Stahl, A. L. (2003). Delinquency cases in juvenile courts. Fact sheet 02. Washington, DC: US Department of Justice.Google Scholar
Steinberg, L., Albert, D., Cauffman, E., Banich, M., Graham, S., & Woolard, J. (2008). Age differences in sensation seeking and impulsivity as indexed by behavior and self-report: Evidence for a dual systems model. Developmental Psychology, 44, 17641778.Google Scholar
Steinberg, L., Blatt-Eisengart, I., & Cauffman, E. (2006). Patterns of competence and adjustment among adolescents from authoritative, authoritarian, indulgent, and neglectful homes: A replication in a sample of serious adolescent offenders. Journal of Research on Adolescence, 16, 4758.Google Scholar
Steinberg, L., & Cauffman, E. (1996). Maturity of judgment in adolescence: Psychosocial factors in adolescent decision making. Law & Human Behavior, 20, 249272.CrossRefGoogle Scholar
Steinberg, L., Graham, S., O'Brien, L., Woolard, J., Cauffman, E., & Banich, M. (2009). Age differences in future orientation and delay discounting. Child Development, 80, 2844.Google Scholar
Steinberg, L., Lamborn, S. D., Dornbusch, S. M., & Darling, N. (1992). Impact of parenting practices on adolescent achievement: Authoritative parenting, school involvement, and encouragement to succeed. Child Development, 63, 12661281.Google Scholar
Steinberg, L., & Monahan, K. C. (2007). Age differences in resistance to peer influence. Developmental Psychology, 43, 15311543.Google Scholar
Steinberg, L., & Scott, E. (2003). Less guilty by reason of adolescence: Developmental immaturity, diminished responsibility, and the juvenile death penalty. American Psychologist, 58, 10091018.Google Scholar
Strathman, A., Gleicher, F., Boninger, D. S., & Edwards, C. S. (1994). The consideration of future consequences: Weighing immediate and distant outcomes of behavior. Journal of Personality and Social Psychology, 66, 742752.Google Scholar
Sullivan, C. J., & Hamilton, Z. K. (2007). Exploring careers in deviance: A joint trajectory analysis of criminal behavior and substance use in an offender population. Deviant Behavior, 28, 497523.CrossRefGoogle Scholar
Tapp, J., & Kohlberg, L. (1971). Developing senses of law and legal justice. Journal of Social Issues, 27, 6591.Google Scholar
Thomas, C. W., & Cage, R. J. (1977). The effect of social characteristics on juvenile court dispositions. Sociological Quarterly, 18, 237252.Google Scholar
Thornberry, T. P., & Krohn, M. D. (2000). The self-report method for measuring delinquency and crime. Measurement and Analysis of Crime and Justice, 4, 3383.Google Scholar
Thornberry, T., & Krohn, M. (2000). The self-report method for measuring delinquency and crime. In Duffee, D., Crutchfield, R., Mastrofski, S., Mazerolle, L., McDowall, D., & Ostrom, B. (Eds.), CJ 2000: Innovations in measurement and analysis (pp. 3383). Washington, DC: National Institute of Justice.Google Scholar
Thornberry, T. P., & Krohn, M. D. (Eds.). (2003). Taking stock of delinquency: An overview of findings from contemporary longitudinal studies. New York: Kluwer Academic/Plenum Press.Google Scholar
Thornberry, T. P., Lizotte, A. J., Krohn, M. D., Farnworth, M., & Jang, S. J. (1994). Delinquent peers, beliefs, and delinquent behavior: A longitudinal test of interactional theory. Criminology, 32, 4783.Google Scholar
Tyler, T. (1997). Procedural fairness and compliance with the law. Swiss Journal of Economics and Statistics, 133, 219240.Google Scholar
Tyler, T. R. (1990). Why people obey the law. New Haven, CT: Yale University Press.Google Scholar
Tyler, T. R., & Fagan, J. (2008). Why do people cooperate with the police? Ohio Journal of Criminal Law, 6, 231275.Google Scholar
Tyler, T. R., & Huo, Y. J. (2002). Trust in the law: Encouraging public cooperation with the police and courts. New York: Russell–Sage Foundation.Google Scholar
Tyler, T. R., & Lind, E. A. (1992). A relational model of authority in groups. San Diego, CA: Academic Press.CrossRefGoogle Scholar
US Bureau of the Census. (2000). 2000 census of populations and housing: Summary tape file 3A [CD]. Washington, DC: US Department of Commerce, Bureau of the Census.Google Scholar
Wechsler, D. (1999). Wechsler Abbreviated Scale of Intelligence. San Antonio, TX: Psychological Corporation.Google Scholar
Weinberger, D. A., & Schwartz, G. E. (1990). Distress and restraint as super ordinate dimensions of self-reported adjustment: A typological perspective. Journal of Personality, 58, 381417.Google Scholar
Zimbardo, P. G. (1990). The Stanford Time Perspective Inventory. Stanford, CA: Stanford University.Google Scholar
Zorn, C. (1998). An analytic and empirical examination of zero-inflated and hurdle Poisson specifications. Sociological Methods & Research, 26, 368400.Google Scholar