Using exam scores to estimate the prevalence of classroom cheating

American Statistician

Volumn 50, Issue 3, 1996, Pages 238-242

  Kvam, Paul H ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Maximum likelihood estimation; Multinomial distribution; Multiple choice exam; Weighted linear estimation

Indexed keywords

EID: 85015003404     PISSN: 00031305     EISSN: 15372731     Source Type: Journal    
DOI: 10.1080/00031305.1996.10474387     Document Type: Article

References (7)

1. Angoff, W. H. (1974), “The Development of Statistical Indices for Detecting Cheaters,” Journal of the American Statistical Association, 69, 44-49.
2. Berkson, J. (1980), “Minimum Chi-Square, Not Maximum Likelihood!” (with Discussion), Annals of Statistics, 8, 457-487.
3. Boland, P. J., and Proschan, M. (1990), “The Use of Statistical Evidence in Allegations of Exam Cheating,” Chance: New Directions for Statistics and Computing, 3(3), 10-14.
4. Cody, R. P. (1985), “Statistical Analysis of Examinations to Detect Cheating,” Journal of Medical Education, 60, 136-137.
5. Cox, D. R., and Hinkley, D. V. (1974), Theoretical Statistics, London: Chapman and Hall.
6. Klein, S. P. (1992), “Statistical Evidence of Cheating on Multiple-Choice Tests,” Chance: New Directions for Statistics and Computing, 5(3-1), 23-27.
7. Serfling, R. J. (1980), Approximation Theorems of Mathematical Statistics, New York: John Wiley.