2
Views
33
CrossRef citations to date
0
Altmetric
Original Articles

Detection of Cheating on Multiple-Choice Tests by Using Error-Similarity Analysis

Pages 151-155 | Published online: 20 Nov 2009
 

Abstract

Cheating on multiple-choice examinations is a serious problem not easily overcome by wing m e test forms, more proctors, or larger testing rooms. A statistical procedure compares answers for pairs of students using those items on which both made errors. If the number of identical wrong answers is sufficiently greater than the number expected by chance and if the students were seated close together, then cheating is likely. Using this analysis with 90 examinations has suggested ways to discourage cheating and demonstrated same limitations of the procedure.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.