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A probabilistic scoring method in multiple-choice testing incorporating partial knowledge


Adair, D and Jaeger, M, A probabilistic scoring method in multiple-choice testing incorporating partial knowledge, Curriculum Development, Innovation and Reform, Nova Science Publishers, R White (ed), Hauppauge, USA, pp. 109-124. ISBN 978-162618428-2 (2013) [Research Book Chapter]

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Copyright 2013 Nove Science Publishers, Inc

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The traditional method for scoring multiple-choice tests is when a student picks one option as the answer. This method however, has been heavily criticized, as it can lead to students guessing and also takes no account of a student's partial knowledge. The scheme developed here, based on simple probability theory, is tested against another method which takes partial knowledge into account namely, the elimination method for multiple-choice tests. The scheme is also tested against the conventional dichotomous method of scoring. It was found that the relatively easy-to-use probabilistic scoring method gave similar results to the elimination testing, whereas lower results were found when compared with the conventional dichotomous method. The results due to the probabilistic scoring method were consistently more reliable than those due to the conventional dichotomous method.

Item Details

Item Type:Research Book Chapter
Keywords:scoring method, multiple-choice assessment, computer-aided assessment
Research Division:Education
Research Group:Specialist studies in education
Research Field:Education assessment and evaluation
Objective Division:Education and Training
Objective Group:Schools and learning environments
Objective Field:Policies and development
UTAS Author:Adair, D (Dr Desmond Adair)
UTAS Author:Jaeger, M (Dr Martin Jaeger)
ID Code:89850
Year Published:2013
Deposited By:Engineering
Deposited On:2014-03-17
Last Modified:2014-12-21

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