Students’ Perceptions of Self and Peers Predict Self-Reports of Cheating

Authors

DOI:

https://doi.org/10.20343/teachlearninqu.13.16

Keywords:

ethics, academic dishonesty, perceptions, consequences, predictors

Abstract

Academic dishonesty and how to address it are common concerns across higher education disciplines, but engineering students admit to higher rates of academic dishonesty than other students. However, first-year students may be particularly receptive to prevention efforts. Considering self-perception, social norming, and behavioral choice theories, we hypothesized that 1.) Students who perceived themself as ethical and more knowledgeable of the consequences for misconduct would be less likely to self-report cheating and 2.) Students who perceived cheating and plagiarism to be common would be more likely to self-report cheating. For this study, freshmen engineering students (N=703) reported their self-perception, perception of cheating and plagiarism among peers, their knowledge of the consequences for cheating, and if they had cheated. A backward elimination logistic regression model determined significant predictors of having cheated. Participants were more likely to report their cheating when they perceived cheating as common. There were significant interactions between self-ethics and perceived plagiarism, and between knowledge of consequences and perceived plagiarism interactions. Results are discussed within the context of social norming and future efforts to reduce misconduct.

Author Biographies

Amber M. Henslee, Missouri University of Science and Technology

Amber M. Henslee, PhD, (USA) is a clinical psychologist and associate professor in the Psychological Science Department at Missouri University of Science and Technology in Rolla, Missouri. Her research interests include college student health-related behaviors and the scholarship of teaching and learning.  

Luke Settles, Missouri University of Science and Technology

Luke Settles, MS, (USA) is a statistician. He earned his BS in applied mathematics and BA in Spanish from Southern Illinois University Edwardsville and MS in statistics from Missouri University of Science and Technology. Luke was a graduate student during this research effort.

Sara E. Johnson, Radford University

Sara Johnson, MS, (USA) is a doctoral candidate in counseling psychology at Radford University in Radford, Virginia. Her research interests include college student wellbeing and the integration of religion, spirituality, and psychotherapy.

Gayla R. Olbricht, Missouri University of Science and Technology

Gayla R. Olbricht, PhD, (USA) is a statistician and professor in the Mathematics and Statistics Department at Missouri University of Science and Technology. Her research interests include statistical modeling of biological data, specializing in statistical genomics research.

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Published

2025-03-31

How to Cite

Henslee, Amber M., Luke Settles, Sara E. Johnson, and Gayla R. Olbricht. 2025. “Students’ Perceptions of Self and Peers Predict Self-Reports of Cheating”. Teaching and Learning Inquiry 13 (March):1–19. https://doi.org/10.20343/teachlearninqu.13.16.