ERIC Number: ED421530
Record Type: RIE
Publication Date: 1995-Apr-21
Reference Count: N/A
Detection of Cheating on Multiple-Choice Examinations.
An index is proposed to detect cheating on multiple-choice examinations, and its use is evaluated through simulations. The proposed index is based on the compound binomial distribution. In total, 360 simulated data sets reflecting 12 different cheating (copying) situations were obtained and used for the study of the sensitivity of the index in detecting cheating and the conditions that affect its effectiveness. A computer program in C language was written to analyze each data set. The simulated data sets were also used to compare an index developed by R. Frary and others (1977) and error-similarity analysis (F. Belleza and S. Belleza, 1989). In general, the new index was effective in detecting cheaters as long as enough items were copied. It was sensitive enough to detect cheating when between 25 and 50% of the items were copied in a 50-item test, but was less sensitive when the test was shorter. It was also less sensitive when there were fewer cheaters in a class. Although effectiveness is influenced by test length, it is not influenced by class size. Similarities and differences among the three indexes are discussed. (Contains 2 tables, 11 figures, and 14 references.) (SLD)
Publication Type: Reports - Research; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: Binomial Distribution
Note: Paper presented at the Annual Meeting of the American Educational Research Association (San Francisco, CA, April 18-22, 1995).