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Testing the Core Empirical Implications of Gottfredson and Hirschi's General Theory of Crime

GRASMICK, HAROLD G., TITTLE, CHARLES R., BURSIK, ROBERT J., ARNEKLEV, BRUCE J.·1993·Journal of Research in Crime and Delinquency

Abstract

In A General Theory of Crime, Gottfredson and Hirschi propose that low self-control, in interaction with criminal opportunity, is the major cause of crime. The research reported in this article attempts to test this argument while closely following the nominal definitions presented by Gottfredson and Hirschi. A factor analysis of items designed to measure low self-control is consistent with their contention that the trait is unidimensional. Further, the proposed interaction effect is found for self-reported acts of both fraud and force (their definition of crime). Inconsistent with the theory are (a) the finding that criminal opportunity has a significant main effect, beyond its interaction with low self-control, on self-reported crime and (b) the substantial proportion of variance in crime left unexplained by the theoretical variables. Suggestions are offered for modifying and expanding the theory.

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Metadata

Authors
GRASMICK, H. G., TITTLE, C. R., BURSIK, R. J., & ARNEKLEV, B. J.
Venue
Journal of Research in Crime and Delinquency
Published
1993-02
Volume
30
Issue
1
Pages
5-29
ISSN
  • 0022-4278 (ISSN-L)
  • 1552-731X
OpenAlex
W2045449171
Cited by
2,269
References
1
FWCI
39.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Testing the Core Empirical Implications of Gottfredson and Hirschi's General Theory of Crime. https://app.cochat.ai/papers/10.1177/0022427893030001002
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GRASMICK, H. G., TITTLE, C. R., BURSIK, R. J., & ARNEKLEV, B. J. (1993). Testing the Core Empirical Implications of Gottfredson and Hirschi's General Theory of Crime. Journal of Research in Crime and Delinquency. https://doi.org/10.1177/0022427893030001002

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.