Self-control, Emerging Adulthood, and Desistance from Crime: a Partial Test of Pratt’s Integrated Self-control/Life-Course Theory of Offending
Although self-control and life-course perspectives are often viewed as competing, if not incompatible, theoretical traditions, Pratt (European Journal of Criminology, 13, 129–146, 2016) argues that the two perspectives are in many ways complementary. In his new integrated theory, self-control is viewed as a dynamic factor that is subject to change and that influences behavior over the life course, including the decreases in crime that typically come with age. Further, it is argued that increases in self-control reduce the likelihood of offending, in part, because they influence the social environments that individuals find themselves in, the activities they pursue, and their cognitive mindsets. In this study, we conduct a partial test of the integrated self-control/life-course theory, with a special focus on the theory’s relevance to desistance during emerging adulthood.
Longitudinal data from a large study of serious young offenders are used to examine within-person changes in self-control and other variables related to desistance from crime.
Although certain variables fail to behave as predicted, the overall pattern of results is consistent with the general thrust of the integrated theory, highlighting the role of self-control in the desistance process.
We find that absolute increases in self-control exert both direct and indirect inhibiting effects on offending, with the indirect effects operating through various life-course variables. Implications for theory and future research are discussed.
KeywordsSelf-control Social bonds Desistance from crime Life-course theory
We wish to thank Brent Teasdale, Frances Chen, and several anonymous reviewers for their helpful comments and suggestions.
- 1.Andershed, H., Kerr, M., Stattin, H., & Levander, S. (2002). Psychopathic traits in non-referred youths: a new assessment tool. In E. Blauuw & L. Sheridan (Eds.), Psychopaths: current international perspectives (pp. 131–158). The Hague: Elsevier.Google Scholar
- 7.Chassin, L., Dmitrieva, J., Modecki, K., Steinberg, L., Cauffman, E., Piquero, A. R., Knight, G. P., & Losoya, S. H. (2010). Does adolescent alcohol and marijuana use predict suppressed growth in psychosocial maturity among male juvenile offenders? Psychology of Addictive Behaviors, 24, 48–60.CrossRefGoogle Scholar
- 9.Colman, C., & Vander Laenen, F. (2012). “Recovery came first”: desistance versus recovery in the criminal careers of drug-using offenders. The Scientific World Journal.Google Scholar
- 10.Elliott, D. S., Huizinga, D., & Ageton, S. (1985). Explaining delinquency and drug use. Beverly Hills, CA: Sage.Google Scholar
- 12.Farrington, D. P. (1986). Age and crime. In M. Tonry & N. Morris (Eds.), Crime and justice: an annual review of research (Vol. 7, pp. 189–250). Chicago: University of Chicago Press.Google Scholar
- 19.Gottfredson, M. R., & Hirschi, T. (1990). A general theory of crime. Stanford, CA: Stanford University Press.Google Scholar
- 22.Hirschi, T. (2016). Separate and unequal is better. Journal of Research in Crime and Delinquency 16(1), 34–38.Google Scholar
- 23.Horney, J., Osgood, D. W., & Marshall, I. H. (1995). Criminal careers in the short-term: Intra-individual variability in crime and its relation to local life circumstances. American Sociological Review, 60, 655–673.Google Scholar
- 25.Laub, J. H., & Sampson, R. J. (2001). Understanding desistance from crime. Crime and Justice, 28, 1–69.Google Scholar
- 26.Laub, J. H., & Sampson, R. J. (2003). Shared beginnings, divergent lives: delinquent boys to age 70. Cambridge, MA: Harvard University Press.Google Scholar
- 31.Menard, S. & Elliott, D. S. (1996). Prediction of adult success using stepwise logistic regression analysis. A report prepared for the MacArthur Foundation by the MacArthur Chicago-Denver Neighborhood Project.Google Scholar
- 34.Mulvey, E. P. (2013). Research on pathways to desistance [Maricopa County, AZ and Philadelphia County, PA]: Subject measures, 2000-2010. ICPSR29961-v2. Ann Arbor, MI: Inter-university Consortium for Political and Social Research, 2013-01-07. https://doi.org/10.3886/ICPSR29961.v2.
- 36.Mulvey, E. P., Steinberg, L., Piquero, A. R., Besana, M., Fagan, J., Schubert, C., & Cauffman, B. (2010). Trajectories of desistance and continuity in antisocial behavior following court adjudication among serious adolescent offenders. Development and Psychopathology, 22, 453–475.CrossRefGoogle Scholar
- 38.Pratt, T. C. (2009). Reconsidering Gottfredson and Hirschi’s general theory of crime: linking the micro- and macro-level sources of self-control and criminal behavior over the life course. In J. Savage (Ed.), The development of persistent criminality (pp. 361–373). New York: Oxford University Press.CrossRefGoogle Scholar
- 42.Raudenbush, S. W., & Bryk, A. S. (2002). Hierarchical linear models: applications and data analysis methods (2nd ed.). University of Chicago: Sage Publications.Google Scholar
- 46.Selig, J. P., & Preacher, K. J. (2008). Monte Carlo method for assessing mediation: an interactive tool for creating confidence intervals for indirect effects, Computer Software. Available from http://quantpsy.org/
- 48.Sullivan, C. J. (2013). Change in offending across the life course. In F. Cullen & P. Wilcox (Eds.), The Oxford handbook of criminological theory (pp. 205–225). New York: Oxford University Press.Google Scholar
- 51.Tittle, C. R. (1995). Control balance: towards a general theory of deviance. Boulder, CO: Westview Press.Google Scholar