Modeling accuracy as a function of response time with the generalized linear mixed effects model

In psycholinguistic studies using error rates as a response measure, response times (RT) are most often analyzed independently of the error rate, although it is widely recognized that they are related. In this paper we present a mixed effects logistic regression model for the error rate that uses RT...

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Bibliographic Details
Published in:Acta psychologica 2013-09, Vol.144 (1), p.83-96
Main Authors: Davidson, D.J., Martin, A.E.
Format: Article
Language:English
Subjects:
Activity levels. Psychomotricity
Adult
Auditory Perception
Biological and medical sciences
Female
Fundamental and applied biological sciences. Psychology
Generalized linear mixed effects model
Humans
Language
Linear Models
Logistic Models
Male
Models, Psychological
Psychology. Psychoanalysis. Psychiatry
Psychology. Psychophysiology
Reaction Time
Research Design
Spain
Speech
Speed–accuracy tradeoff
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Summary:In psycholinguistic studies using error rates as a response measure, response times (RT) are most often analyzed independently of the error rate, although it is widely recognized that they are related. In this paper we present a mixed effects logistic regression model for the error rate that uses RT as a trial-level fixed- and random-effect regression input. Production data from a translation–recall experiment are analyzed as an example. Several model comparisons reveal that RT improves the fit of the regression model for the error rate. Two simulation studies then show how the mixed effects regression model can identify individual participants for whom (a) faster responses are more accurate, (b) faster responses are less accurate, or (c) there is no relation between speed and accuracy. These results show that this type of model can serve as a useful adjunct to traditional techniques, allowing psycholinguistic researchers to examine more closely the relationship between RT and accuracy in individual subjects and better account for the variability which may be present, as well as a preliminary step to more advanced RT–accuracy modeling. •Using response time to model binary outcomes can improve statistical models.•The general trend and individual variation can be modeled for single trials.•This can diagnose speed–accuracy tradeoff in individual subjects.
ISSN:0001-6918
1873-6297
DOI:10.1016/j.actpsy.2013.04.016