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Certainty-Based Marking on Multiple-Choice Items: Psychometrics Meets Decision Theory

Published online by Cambridge University Press:  01 January 2025

Qian WuOpen the ORCID record for Qian Wu[Opens in a new window],
Monique Vanerum,
Anouk AgtenOpen the ORCID record for Anouk Agten[Opens in a new window],
Andrés ChristiansenOpen the ORCID record for Andrés Christiansen[Opens in a new window],
Frank VandenabeeleOpen the ORCID record for Frank Vandenabeele[Opens in a new window],
Jean-Michel RigoOpen the ORCID record for Jean-Michel Rigo[Opens in a new window] and
Rianne JanssenOpen the ORCID record for Rianne Janssen[Opens in a new window]
Qian Wu
Affiliation:
KU Leuven
Monique Vanerum
Affiliation:
University of Hasselt
Anouk Agten
Affiliation:
University of Hasselt
Andrés Christiansen
Affiliation:
KU Leuven
Frank Vandenabeele
Affiliation:
University of Hasselt
Jean-Michel Rigo
Affiliation:
University of Hasselt
Rianne Janssen*
Affiliation:
KU Leuven
*
Correspondence should be made to Rianne Janssen, Center for Educational Effectiveness and Evaluation, KU Leuven, Dekenstraat 2, bus 3773, 3000Leuven, Belgium. Email: rianne.janssen@kuleuven.be
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Abstract

When a response to a multiple-choice item consists of selecting a single-best answer, it is not possible for examiners to differentiate between a response that is a product of knowledge and one that is largely a product of uncertainty. Certainty-based marking (CBM) is one testing format that requires examinees to express their degree of certainty on the response option they have selected, leading to an item score that depends both on the correctness of an answer and the certainty expressed. The expected score is maximized if examinees truthfully report their level of certainty. However, prospect theory states that people do not always make rational choices of the optimal outcome due to varying risk attitudes. By integrating a psychometric model and a decision-making perspective, the present study looks into the response behaviors of 334 first-year students of physiotherapy on six multiple-choice examinations with CBM in a case study. We used item response theory to model the objective probability of students giving a correct response to an item, and cumulative prospect theory to estimate their risk attitudes when students choose to report their certainty. The results showed that with the given CBM scoring matrix, students’ choices of a certainty level were affected by their risk attitudes. Students were generally risk averse and loss averse when they had a high success probability on an item, leading to an under-reporting of their certainty. Meanwhile, they were risk seeking in case of small success probabilities on the items, resulting in the over-reporting of certainty.

Keywords

certainty-based markingmultiple-choice questionsIRTcumulative prospect theoryhierarchical Bayesian estimation

Information

Type
Application Reviews and Case Studies
Information
Psychometrika , Volume 86 , Issue 2 , June 2021, pp. 518 - 543
Copyright
Copyright © 2021 The Psychometric Society

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Footnotes

The online version contains supplementary material available at https://doi.org/10.1007/s11336-021-09759-0.

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