Detecting excessive similarity in answers on multiple choice exams
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This paper provides a simple and robust method for detecting cheating.
Unlike some methods, non-cheating behaviour and not cheating behaviour is
modelled because this requires the fewest assumptions. The main concern is
the prevention of false accusations. The model is suitable for screening
large classes and the results are simple to interpret. Simulation and the
Bonferroni inequality are used to prevent false accusation due to 'data
dredging'. The model has received considerable application in practice and
has been verified through the adjacent seating method.
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