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Outline

Optimal correction for guessing in multiple-choice tests

2010, Journal of Mathematical Psychology

https://doi.org/10.1016/J.JMP.2010.06.001

Abstract

MCQ examinations are frequently used but there is no consensus as to whether a penalty for wrong answers should be used or not. For example, in some countries examinations for medical licensing include MCQ sections with penalty while in others there is no penalty for wrong answers. We contribute to this discussion with the analysis of the effects of penalties. In a partial knowledge model there is a trade-off between bias and measurement error that is affected by the level of penalties. We build on IRT and introduce students' optimal behavior. Our simulations indicate that the optimal penalty may be relatively high: even though it discriminates against risk averse students this effect is small compared with the measurement error that it prevents. Financial support from MEC(SEJ2006-06309/ECON) and Gobierno Vasco, DEUI(IT-313-07

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