Plagiarism in Student Papers: Prevalence Estimates Using Special Techniques for Sensitive Questions
This article evaluates three different questioning techniques for measuring the prevalence of plagiarism in student papers: the randomized response technique (RRT), the item count technique (ICT), and the crosswise model (CM). In three independent experimental surveys with Swiss and German university students as subjects (two web surveys and a survey using paper and- pencil questionnaires in a classroom setting), each of the three techniques is compared to direct questioning and evaluated based on the “more-is-better” assumption. According to our results the RRT and the ICT failed to reduce social desirability bias in self-reports of plagiarism. In contrast, the CM was more successful in eliciting a significantly higher rate of reported sensitive behavior than direct questioning. One reason for the success of the CM, we believe, is that it overcomes the “self-protective no” bias known from the RRT (and which may also be a potential problem in the ICT).We find rates of up to 22 percent of students who declared that they ever intentionally adopted a passage from someone else’s work without citing it. Severe plagiarism such as handing in someone else’s paper as one’s own, however, seems to be less frequent with rates of about 1 to 2 percent.
Volume (Year): 231 (2011)
Issue (Month): 5-6 (October)
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- Elisabeth Coutts & Ben Jann, 2011. "Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT)," Sociological Methods & Research, SAGE Publishing, vol. 40(1), pages 169-193, February.
- James Abernathy & Bernard Greenberg & Daniel Horvitz, 1970. "Estimates of induced abortion in urban North Carolina," Demography, Springer;Population Association of America (PAA), vol. 7(1), pages 19-29, February.
- Elisabeth Coutts & Ben Jann, 2008. "Sensitive Questions in Online Surveys: Experimental Results for the Randomized Response Technique (RRT) and the Unmatched Count Technique (UCT)," ETH Zurich Sociology Working Papers 3, ETH Zurich, Chair of Sociology.
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