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A joint modeling approach for reaction time and accuracy in psycholinguistic experiments

Tom Loeys (UGent), Yves Rosseel (UGent) and Kristof Baten (UGent)
(2011) PSYCHOMETRIKA. 76(3). p.487-503
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The integrative neuroscience of behavioral control (Neuroscience)
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
reaction time, psycholinguistic experiment, Bayesian estimation, joint modeling, SPEED, WINBUGS, FRAMEWORK, LANGUAGE, SIGNAL-DETECTION, RESPONSE-TIME, FIXED-EFFECT FALLACY

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Citation

Please use this url to cite or link to this publication:

Chicago
Loeys, Tom, Yves Rosseel, and Kristof Baten. 2011. “A Joint Modeling Approach for Reaction Time and Accuracy in Psycholinguistic Experiments.” Psychometrika 76 (3): 487–503.
APA
Loeys, T., Rosseel, Y., & Baten, K. (2011). A joint modeling approach for reaction time and accuracy in psycholinguistic experiments. PSYCHOMETRIKA, 76(3), 487–503.
Vancouver
1.
Loeys T, Rosseel Y, Baten K. A joint modeling approach for reaction time and accuracy in psycholinguistic experiments. PSYCHOMETRIKA. 2011;76(3):487–503.
MLA
Loeys, Tom, Yves Rosseel, and Kristof Baten. “A Joint Modeling Approach for Reaction Time and Accuracy in Psycholinguistic Experiments.” PSYCHOMETRIKA 76.3 (2011): 487–503. Print.
@article{2001861,
  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.},
  author       = {Loeys, Tom and Rosseel, Yves and Baten, Kristof},
  issn         = {0033-3123},
  journal      = {PSYCHOMETRIKA},
  keyword      = {reaction time,psycholinguistic experiment,Bayesian estimation,joint modeling,SPEED,WINBUGS,FRAMEWORK,LANGUAGE,SIGNAL-DETECTION,RESPONSE-TIME,FIXED-EFFECT FALLACY},
  language     = {eng},
  number       = {3},
  pages        = {487--503},
  title        = {A joint modeling approach for reaction time and accuracy in psycholinguistic experiments},
  url          = {http://dx.doi.org/10.1007/s11336-011-9211-y},
  volume       = {76},
  year         = {2011},
}

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