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Cited by 402

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

College Student Cheating: The Role of Motivation, Perceived Norms, Attitudes, and Knowledge of Institutional Policy

Jordan, Augustus E.·2001·Ethics & Behavior

Abstract

Cheaters and noncheaters were assessed on 2 types of motivation (mastery and extrinsic), on perceived social norms regarding cheating, on attitudes about cheating, and on knowledge of institutional policy regarding cheating behavior. All 5 factors were significant predictors of cheating rates. In addition, cheaters were found lower in mastery motivation and higher in extrinsic motivation in courses in which they cheated than in courses in which they did not cheat. Cheaters, in courses in which they cheated, were also lower in mastery motivation and higher in extrinsic motivation than were noncheaters. Finally, cheaters differed from noncheaters on perceived social norms regarding cheating, on their knowledge of institutional policy regarding cheating, and on their attitudes toward cheating. Implications of these findings for institutional interventions are discussed.

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Metadata

Authors
Jordan, A. E.
Venue
Ethics & Behavior
Published
2001-07
Volume
11
Issue
3
Pages
233-247
ISSN
  • 1050-8422 (ISSN-L)
  • 1532-7019
OpenAlex
W2140016573
Cited by
402
References
6
FWCI
9.59
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: College Student Cheating: The Role of Motivation, Perceived Norms, Attitudes, and Knowledge of Institutional Policy. https://app.cochat.ai/papers/10.1207/s15327019eb1103_3
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Jordan, A. E. (2001). College Student Cheating: The Role of Motivation, Perceived Norms, Attitudes, and Knowledge of Institutional Policy. Ethics & Behavior. https://doi.org/10.1207/s15327019eb1103_3

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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.