Factors related to academic dishonesty among Oregon undergraduates : an application of the randomized response survey technique Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/nk322h80s

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • This paper provides logit estimates of the probability that students will cheat in a specific class using randomized response and direct question data in two logit models. The results predict that there are several indicators of the probability of cheating occurring in a class. These factors include both student and instructor characteristics. They suggest several steps that can be taken to reduce the incidence of cheating which are relatively inexpensive yet potentially very successful. Further, this study explores the usefulness of the randomized response survey technique in obtaining information about sensitive behavior. Estimates indicate that there are steps that instructors can take to reduce the amount of cheating that takes place in their classes. This study suggests that using multiple versions of each exam, non-multiple choice exams and reducing the weight of each exam score toward the final course grade are all measures which will lower the incidence of academic dishonesty in a class. By allowing a respondent more anonymity the randomized response method encourages more truthful answers than direct questioning. In both models studied here, randomized response yields higher estimates of cheating. The randomized response estimates also appear to be more consistent with previous estimates of cheating than do the direct question estimates. This lends confidence to the conclusion that when surveying respondents about potentially sensitive or threatening information the direct question method yields inaccurate predictions of actual behavior and randomized response is a more appropriate methodology.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6670 in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2013-01-14T21:40:05Z (GMT). No. of bitstreams: 1 SigmundCharlesL1994.pdf: 1524841 bytes, checksum: 29c69db0a1252c3f4d3ee852cf2a8571 (MD5) Previous issue date: 1994-03-28
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-01-02T18:33:59Z (GMT) No. of bitstreams: 1 SigmundCharlesL1994.pdf: 1524841 bytes, checksum: 29c69db0a1252c3f4d3ee852cf2a8571 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2013-01-14T21:40:04Z (GMT) No. of bitstreams: 1 SigmundCharlesL1994.pdf: 1524841 bytes, checksum: 29c69db0a1252c3f4d3ee852cf2a8571 (MD5)
  • description.provenance : Submitted by John Valentino (valentjo@onid.orst.edu) on 2012-12-18T22:17:28Z No. of bitstreams: 1 SigmundCharlesL1994.pdf: 1524841 bytes, checksum: 29c69db0a1252c3f4d3ee852cf2a8571 (MD5)

Relationships

In Administrative Set:
Last modified: 08/20/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items