Honor Codes and Other Contextual Influences on Academic Integrity: A Replication and Extension to Modified Honor Code Settings
Integrity signals
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Students are more likely to engage in dishonest behaviour when they perceive the risks of non-compliance as low due to lax enforcement or ambiguity in policies.
“Studies by McCabe, Trevino, and Butterfield (2002) and Harding et al. (2007) suggest that students are more likely to engage in dishonest behaviour when they perceive the risks of non-compliance as low due to lax enforcement or ambiguity in policies.”
From Addressing student non-compliance in AI use declarations: implications for academic integrity and assessment in higher education (2025) · cites this paper as McCabe, Trevino, and Butterfield 2002
Cited by
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Academic Dishonesty in Graduate Business Programs: Prevalence, Causes, and Proposed Action
McCabe, D. L., Butterfield, K. D., & Treviño, L. K. (2006) · Academy of Management Learning & Education · doi:10.5465/amle.2006.22697018 · Cited by 720 · see citing works
Self-citationAcademic Integrity in Online Assessment: A Research Review
Holden, O. L., Norris, M. E., & Kuhlmeier, V. A. (2021) · Frontiers in Education · doi:10.3389/feduc.2021.639814 · Cited by 310 · see citing works
Stone, T. H., Jawahar, I. M., & Kisamore, J. L. (2010) · Basic and Applied Social Psychology · doi:10.1080/01973530903539895 · Cited by 198 · see citing works
Gonsalves, C. (2025) · Assessment & Evaluation in Higher Education · doi:10.1080/02602938.2024.2415654 · Cited by 121 · see citing works
“Studies by McCabe, Trevino, and Butterfield (2002) and Harding et al. (2007) suggest that students are more likely to engage in dishonest behaviour when they perceive the risks of non-compliance as low due to lax enforcement or ambiguity in policies.”
Zhao, L., Mao, H., Compton, B. J., Peng, J., Fu, G., Fang, F., Heyman, G. D., & Lee, K. (2022) · Educational Research Review · doi:10.1016/j.edurev.2022.100455 · Cited by 120 · see citing works
Students at Risk for Being Reported for Cheating
Bertram Gallant, T., Binkin, N., & Donohue, M. (2015) · Journal of Academic Ethics · doi:10.1007/s10805-015-9235-5 · Cited by 82 · see citing works
Eaton, S. E., & Edino, R. I. (2018) · International Journal for Educational Integrity · doi:10.1007/s40979-018-0028-7 · Cited by 64 · see citing works
Honor Codes and Academic Integrity: Three Decades of Research
Tatum, H. E. (2022) · Journal of College and Character · doi:10.1080/2194587x.2021.2017977 · Cited by 63 · see citing works
Is There a Relationship Between Honor Codes and Academic Dishonesty?
Arnold, R., Martin, B. N., & Bigby, L. (2007) · Journal of College and Character · doi:10.2202/1940-1639.1164 · Cited by 58 · see citing works
A theory of change for student-led academic integrity
Richards, D., Saddiqui, S., White, F., McGuigan, N., & Homewood, J. (2016) · Quality in Higher Education · doi:10.1080/13538322.2016.1265849 · Cited by 34 · see citing works
- Authors
- McCabe, D. L., Treviño, L. K., & Butterfield, K. D.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Pennsylvania State University (US)
- Corresponding author
- McCabe, Donald L.
- Venue
- Research in Higher Education
- Published
- 2002-06
- Volume
- 43
- Issue
- 3
- Pages
- 357-378
- ISSN
- 0361-0365 (ISSN-L)
- 1573-188X
- OpenAlex
- W1587372480
- Cited by
- 374
- References
- 0
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 14 · 2023: 20 · 2022: 21 · 2021: 16 · 2020: 18 · 2019: 19 · 2018: 10 · 2017: 13 · 2016: 26 · 2015: 30 · 2014: 22 · 2013: 22 · 2012: 16
- FWCI
- 17.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Research in Higher Education (publishedVersion)
- Topics
- Social Sciences › Safety Research › Academic integrity and plagiarism
- Social Sciences › Decision Sciences › Information Systems and Management › Ethics in Business and Education
- Social Sciences › Law › Legal Issues in Education
- Keywords
- academic integrity, academic dishonesty, replication, university students
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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