Using Exam Scores to Estimate the Prevalence of Classroom Cheating
作者:
PaulH. Kvam,
期刊:
The American Statistician
(Taylor Available online 1996)
卷期:
Volume 50,
issue 3
页码: 238-242
ISSN:0003-1305
年代: 1996
DOI:10.1080/00031305.1996.10474387
出版商: Taylor & Francis Group
关键词: Maximum likelihood estimation;Multinomial distribution;Multiple choice exam;Weighted linear estimation
数据来源: Taylor
摘要:
Instructors for introductory courses with large enrollments must routinely work to curb cheating during exams. A method used for such purposes is described here. Perhaps more interesting than the method's effectiveness is the inherited ability to draw inference on unknown parameters of interest, including the proportion of students who cheat (as opposed to guess) when faced with not knowing how to obtain the solution to a multiple-choice exam question. For estimation we consider the method of maximum likelihood.
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