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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
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.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
psycholinguistic experiment, reaction time, Bayesian estimation, joint modeling, SPEED, WINBUGS, FRAMEWORK, LANGUAGE, SIGNAL-DETECTION, RESPONSE-TIME, FIXED-EFFECT FALLACY
journal title
PSYCHOMETRIKA
Psychometrika
volume
76
issue
3
pages
487 - 503
Web of Science type
Article
Web of Science id
000292003800007
JCR category
SOCIAL SCIENCES, MATHEMATICAL METHODS
JCR impact factor
1.772 (2011)
JCR rank
7/45 (2011)
JCR quartile
1 (2011)
ISSN
0033-3123
DOI
10.1007/s11336-011-9211-y
project
The integrative neuroscience of behavioral control (Neuroscience)
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2001861
handle
http://hdl.handle.net/1854/LU-2001861
date created
2012-01-24 15:25:39
date last changed
2013-02-27 09:07:07
@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      = {psycholinguistic experiment,reaction time,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},
}

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.