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Modelling Conditional Dependence Between Response Time and Accuracy

Published online by Cambridge University Press:  01 January 2025

Maria Bolsinova ,
Paul de Boeck  and
Jesper Tijmstra
Maria Bolsinova*
Affiliation:
Utrecht University CITO, Dutch National Institute for Educational Measurement University of Amsterdam
Paul de Boeck
Affiliation:
Ohio State University KU Leuven
Jesper Tijmstra
Affiliation:
Tilburg University
*
Correspondence should be made to Maria Bolsinova, Department of Psychology, University of Amsterdam, Nieuweachtergracht 129, 1018 WS Amsterdam, The Netherlands. Email: m.a.bolsinova@uva.nl
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Abstract

The assumption of conditional independence between response time and accuracy given speed and ability is commonly made in response time modelling. However, this assumption might be violated in some cases, meaning that the relationship between the response time and the response accuracy of the same item cannot be fully explained by the correlation between the overall speed and ability. We propose to explicitly model the residual dependence between time and accuracy by incorporating the effects of the residual response time on the intercept and the slope parameter of the IRT model for response accuracy. We present an empirical example of a violation of conditional independence from a low-stakes educational test and show that our new model reveals interesting phenomena about the dependence of the item properties on whether the response is relatively fast or slow. For more difficult items responding slowly is associated with a higher probability of a correct response, whereas for the easier items responding slower is associated with a lower probability of a correct response. Moreover, for many of the items slower responses were less informative for the ability because their discrimination parameters decrease with residual response time.

Keywords

response timeshierarchical modelconditional independenceitem response theory

Information

Type
Original Paper
Information
Psychometrika , Volume 82 , Issue 4 , December 2017 , pp. 1126 - 1148
Copyright
Copyright © 2016 The Psychometric Society

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Footnotes

Electronic supplementary material The online version of this article (doi:10.1007/s11336-016-9537-6) contains supplementary material, which is available to authorized users.

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