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A Joint Modeling Approach for Reaction Time and Accuracy in Psycholinguistic Experiments

Published online by Cambridge University Press:  01 January 2025

T. Loeys ,
Y. Rosseel  and
K. Baten
T. Loeys*
Affiliation:
Ghent University
Y. Rosseel
Affiliation:
Ghent University
K. Baten
Affiliation:
Ghent University
*
Requests for reprints should be sent to T. Loeys, Ghent University, Ghent, Belgium. E-mail: tom.loeys@ugent.be
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Abstract

In the psycholinguistic literature, reaction times and accuracy can be analyzed separately using mixed (logistic) effects models with crossed random effects for item and subject. Given the potential correlation between these two outcomes, a joint model for the reaction time and accuracy may provide further insight. In this paper, a Bayesian hierarchical framework is proposed that allows estimation of the correlation between time intensity and difficulty at the item level, and between speed and ability at the subject level. The framework is shown to be flexible in that reaction times can follow a (log-) normal or (shifted) Weibull distribution. A simulation study reveals the reduction in bias gains possible when using joint models, and an analysis of an example from a Dutch–English word recognition study illustrates the proposed method.

Keywords

joint modelingBayesian estimationreaction timepsycholinguistic experiment

Information

Type
Original Paper
Information
Psychometrika , Volume 76 , Issue 3 , July 2011 , pp. 487 - 503
Copyright
Copyright © 2011 The Psychometric Society

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