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Deconstructing “Force and Fraud”: An Empirical Assessment of the Generality of Crime

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Abstract

Gottfredson and Hirschi (A General Theory of Crime, Stanford University Press, Stanford, CA, 1990) have proposed a general theory of crime to explain a set of behaviors they refer to as “acts of force and fraud.” Central to their theory is the claim that force and fraud are both manifestations of the individual's unrestrained pursuit of short-term gratification. At the same time, research from numerous disciplines suggests that the correlates of violence differ somewhat from those of property crime. The present study therefore uses data from the National Youth Survey to explore whether force and fraud can legitimately be viewed as manifestations of a single underlying construct among American adolescents. Overall, findings from confirmatory factor analyses suggest that they cannot. Rather, they suggest that multi-factor models of force and fraud improve significantly upon the fit of single-factor models and that force and fraud may therefore reflect overlapping, but empirically distinct, constructs.

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REFERENCES

  • Anderson, E. (1994). The code of the streets. Atlantic Monthly 273: 81-94.

    Google Scholar 

  • Benson, M. L., and Moore, E. (1992). Are white-collar and common offenders the same?. J. Res. Crime Delinq. 29: 251-272.

    Google Scholar 

  • Bentler, P. M., and Bonett, D. G. (1980). Significance tests and goodness-of-fit in the analysis of covariance structures. Psychol. Bull. 88: 588-606.

    Google Scholar 

  • Bohman, M., Cloninger, R., Sigvardsson, S., and von Knoring, A. L. (1982). Predispositions to petty criminality in Swedish adoptees: I, Genetic and environmental heterogeneity. Arch. Gen. Psychiat. 39: 1233-1241.

    Google Scholar 

  • Bollen, K. A., and Paxton, P. (1998). Detection and determinants of bias in subjective measures. Am. Sociol. Rev. 63: 465-478.

    Google Scholar 

  • Brennan, P. A., Mednick, S. A., and John, R. (1989). Specialization in violence: Evidence of a criminal subgroup. Criminology 27: 437-453.

    Google Scholar 

  • Brennan, P. A., Mednick, S. A., and Volavka, J. (1995a). Biomedical factors in crime. In: Wilson, J. Q., and Petersilia, J. (eds.), Crime, ICS Press, San Francisco, pp. 65-90.

    Google Scholar 

  • Brennan, P. A., Mednick, S. A., and Jacobsen, B. (1995b). Assessing the role of genetics in crime using adoption cohorts. In: Genetics of Criminal and Antisocial Behavior, Wiley, Chischester (Ciba Foundation Symposium 194), pp. 115-128.

    Google Scholar 

  • Browne, M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. Br. J. Math. Stat. Psychol. 37: 62-83.

    Google Scholar 

  • Browne, M. W., and Cudeck, R. (1993). Alternative ways of assessing model fit. In: Bollen, K. A., and Long, J. S. (eds.), Testing Structural Equation Models, Sage, Newbury Park, CA.

    Google Scholar 

  • Bushway, S., Brame, R., and Paternoster, R. (1999). Assessing stability and change in criminal offending: A comparison of random effects, semiparametric, and fixed effects modeling strategies. J. Quant. Criminol. 15: 23-61.

    Google Scholar 

  • Cloninger, C. R., Sigvardsson, S., Bohman, M., and von Knorring, A. L. (1982). Predisposition to petty criminality in Swedish adoptees: II, Cross-fostering analysis of gene-environment interaction. Arch. Gen. Psychiat. 39: 1242-1247.

    Google Scholar 

  • Cohen, L., and Felson, M. (1979). Social change and crime rate trends: A troutine activies approach. Am. Sociol. Rev. 44: 588-608.

    Google Scholar 

  • Cole, D. A. (1987). Utility of confirmatory factor analysis in test validation research. J. Consult. Clin. Psychol. 55: 584-594.

    Google Scholar 

  • Department of Justice (1998). Uniform Crime Reports, Federal Bureau of Investigation, U. S. Government Printing Office, Washington, DC.

    Google Scholar 

  • Donovan, J. E., and Jessor, R. (1985). Structure of problem behavior in adolescence and young adulthood. J. Consult. Clin. Psychol. 53: 890-904.

    Google Scholar 

  • Elliott, D. S., and Ageton, S. S. (1980). Reconciling race and class differences in self-reported and official estimates of delinquency. Am. Sociol. Rev. 45: 95-110.

    Google Scholar 

  • Elliott, D. S., Huizinga, D., and Ageton, S. S. (1985). Explaining Delinquency and Drug Use, Sage, Beverly Hills, CA.

    Google Scholar 

  • Elliott, D. S., and Voss, H. (1974). Delinquency and Dropout, D. C. Health, Lexington, MA.

    Google Scholar 

  • Evans, T. D., Cullen, F. T., Burton, V. S., Jr., Dunaway, R. G., and Benson, M. L. (1997). The social consequences of self-control: Testing the general theory of crime. Criminology 35: 475-504.

    Google Scholar 

  • Geis, G. (2000). On the absence of self-control as the basis for a general theory of crime. Theor. Criminol. 4: 35-53.

    Google Scholar 

  • Gold, M., and Reimer, D. J. (1975). Changing patterns of delinquent behavior amongAmericans 13 to 16 years old 1967–1972. Crime Delinq. Lit. 7: 483-517.

    Google Scholar 

  • Gottfredson, M., and Hirschi, T. (1990). A General Theory of Crime, Stanford University Press, Stanford, CA.

    Google Scholar 

  • Grasmick, H. G., Tittle, C. R., Bursik, R. J., Jr., and Arneklev, B. J. (1993). Testing the core empirical implications of Gottfredson and Hirschi's general theory of crime. J. Res. Crime Delinq. 30: 5-29.

    Google Scholar 

  • Greenberg, D. F. (1977). Delinquency and the age structure of society. Contemp. Crises 1: 189-223.

    Google Scholar 

  • Greenberg, D. F., Tamerelli, R., and Kelley, M. S. (2002). The generality of the Gottfredson-Hirschi “General Theory of Crime.” In: Waring, E., and Weisburd, D. (eds.), Advances in Criminological Theory: Crime and Social Organization (Vol. 10), Transaction, Piscataway, NJ, pp. 49-94.

    Google Scholar 

  • Hindelang, M. J., Hirschi, T., and Weis, J. G. (1981). Measuring Delinquency, Sage, Beverly Hills, CA.

    Google Scholar 

  • Hirschi, T., and Gottfredson, M. (2000). In defense of self-control. Theor. Criminol. 4: 55-69.

    Google Scholar 

  • Kandel, E., Brennan, P. A., Mednick, S. A., and Michelson, N. M. (1989). Minor physical anomalies and recidivistic adult violent criminal behavior. Acta Psychiatr. Scand. 79: 103-107.

    Google Scholar 

  • Kandel, E., and Mednick, S. A. (1991). Perinatal complications predict violent offending. Criminology 29: 519-529.

    Google Scholar 

  • Kelley, B. T., Huizinga, D., Thornberry, T. P., and Loeber, R. (1997). Epidemiology of Serious Violence. Juvenile Justice Bulletin. Office of Juvenile Justice and Delinquency Prevention, U. S. Department of Justice, June.

    Google Scholar 

  • Lewis, D. O., Shanok, S. S., and Balla, D. A. (1979). Perinatal difficulties, head and face trauma, and child abuse in the medical histories of seriously delinquent children. Am. J. Psychiatry 136: 419-423.

    Google Scholar 

  • Loehlin, J. C. (1992). Latent Variable Models: An Introduction to Factor, Path, and Structural Analysis, Lawrence Erlbaum, Hillsdale, NJ.

    Google Scholar 

  • Longshore, D. (1998). Self-control and criminal opportunity: A prospective test of the general theory of crime. Soc. Problems 45: 102-113.

    Google Scholar 

  • Maltz, M. D., and Mullany, J. M. (2000). Visualizing lives: New Pathways for analyzing life course trajectories. J. Quant. Criminol. 16: 255-281.

    Google Scholar 

  • Maugham, B., Pickles, A., Rowe, R., Costello, E. J., and Angold, A. (2000). Developmental trajectories of aggressive and non-aggressive conduct problems. J. Quant. Criminol. 16: 199-221.

    Google Scholar 

  • McCord, J. (2000). Developmental trajectories and intentional harm. J. Quant. Criminol. 16:237-253.

    Google Scholar 

  • Mednick, S. A., Gabrielli, W. H., and Hutchings, B. (1984). Genetic influences in criminal convictions: Evidence from an adoption cohort. Science 224: 891-894.

    Google Scholar 

  • Moffitt, T. E. (1993). Adolescent-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychol. Rev. 100: 674-701.

    Google Scholar 

  • Moffitt, T. E., Lynam, D., and Silva, P. A. (1994). Neuropsychological tests predict persistent male delinquency. Criminology 32: 277-300.

    Google Scholar 

  • Nagin, D. S. (1999). Analyzing developmental trajectories: A semiparametric, group-based approach. Psychol. Methods 4: 139-157.

    Google Scholar 

  • Osgood, D. W., Johnston, L. D., O'Malley, P. M., and Bachman, J. G. (1988). The generality of deviance in late adolescence and early adulthood. Am. Sociol. Rev. 53: 81-93.

    Google Scholar 

  • Piquero, A. R., Paternoster, R., Mazerolle, P., Brame, R., and Dean, C. W. (1999). Onset age and offense specialization. J. Res. Crime Delinq. 36: 275-299.

    Google Scholar 

  • Pratt, T. C., and Cullen, F. T. (2000). The empirical status of Gottfredson and Hirschi's general theory of crime: A meta-analysis. Criminology 38: 931-964.

    Google Scholar 

  • Raftery, A. E. (1995). Basyian model selection in social research. In: Marsden, P. V. (ed.), Sociological Methodology (Vol. 25), pp. 111-163.

  • Steffensmeier, D. J., Allen, E. A., Harer, M. D., and Streifel, C. (1989). Age and the distribution of crime. Am. J. Sociol. 94: 803-831.

    Google Scholar 

  • Stolzenberg, R. M., and Relles, D. A. (1997). Tools for intuition about sample selection bias and its correction. Am. Sociol. Rev. 62: 494-507.

    Google Scholar 

  • Tibbetts, S. G., and Piquero, A. R. (1999). The influence of gender, low birth weight, and disadvantaged environment in predicting early onset of offending: A test of Moffitt's interactional hypothesis. Criminology 37: 843-878.

    Google Scholar 

  • Vazsonyi, A. T., Lloyd, E. P., Junger, M., and Hessing, D. (2001). An empirical test of theGeneral Theory of Crime: A four-nation comparative study of self-control and the prediction of deviance. J. Res. Crime Delinq. 38: 91-131.

    Google Scholar 

  • Waldrop, M. F., Bell, R. A., McLaughlin, B., and Halverson, C. F. (1978). New born minor physical anomalies predict short attention span, peer aggression, and impulsivity at age 3. Science 199: 563-564.

    Google Scholar 

  • White, H. R., and Labouvie, E. W. (1994). Generality versus specificity of problem behaviors:Psychological and functional differences. J. Drug Issues 24: 55-74.

    Google Scholar 

  • Williams, J. R., and Gold, M. (1972). From delinquent behavior to official delinquency. Soc. Problems 20: 209-229.

    Google Scholar 

  • Wright, B. R. E., Caspie, A., Moffitt, T. E., and Silva, P. A. (1999). Low self-control, social bonds, and crime: Social causation, social selection, or both? Criminology 37: 479-514.

    Google Scholar 

  • Wright, R., Logie, R. H., and Decker, S. (1995). Criminal expertise and offender decision-making: An experimental study of the target selection process in residential burglary. J. Res. Crime Delinq. 32: 39-53.

    Google Scholar 

  • Zager, M. A. (1994). Gender and crime. In: Hirschi, T., and Gottfredson, M. (eds.), The Generality of Deviance, Transaction Publishers, New Brunswick, NJ.

    Google Scholar 

  • Zimring, F. E. (1999). Adolescent Homicide at the End of the Millenium: In Search of a Theory. Research presented at Emory University's Violence Studies Lecture Series, Emory University, Atlanta, GA, October 20.

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Rebellon, C.J., Waldman, I. Deconstructing “Force and Fraud”: An Empirical Assessment of the Generality of Crime. Journal of Quantitative Criminology 19, 303–321 (2003). https://doi.org/10.1023/A:1024961026078

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