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Cited by 269

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Academic dishonesty and low self‐control: An empirical test of a general theory of crime

Cochran, John K., Wood, Peter B., Sellers, Christine S., Wilkerson, Wendy, Chamlin, Mitchell B.·1998·Deviant Behavior

Abstract

This study uses academic dishonesty as a unique type of fraudulent behavior upon which to test Gottfredson and Hirschi's general theory of crime. The study utilizes self‐report data from a survey of undergraduate students enrolled in sociology courses at a large southwestern university. With these data, the authors examine a number of the core theoretical propositions of Gottfredson and Hirschi's theory. That is, we test issues concerning the dimensionality of low self‐control, the influence of parenting on the development of self‐control, the association between levels of self‐control and involvement in academic dishonesty, and the interactive effects of low self‐control and opportunity on the frequency of academic dishonesty. The results of our analyses, although rather mixed, do provide qualified support for the theory.

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Crossref · 10.1080/01639625.1998.9968087

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Metadata

Authors
Cochran, J. K., Wood, P. B., Sellers, C. S., Wilkerson, W., & Chamlin, M. B.
Venue
Deviant Behavior
Published
1998-07
Volume
19
Issue
3
Pages
227-255
ISSN
  • 0163-9625 (ISSN-L)
  • 1521-0456
OpenAlex
W2021841500
Cited by
269
References
22
FWCI
10.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Academic dishonesty and low self‐control: An empirical test of a general theory of crime. https://app.cochat.ai/papers/10.1080/01639625.1998.9968087
The paper
Cochran, J. K., Wood, P. B., Sellers, C. S., Wilkerson, W., & Chamlin, M. B. (1998). Academic dishonesty and low self‐control: An empirical test of a general theory of crime. Deviant Behavior. https://doi.org/10.1080/01639625.1998.9968087

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.