ERIC Number: EJ929720
Record Type: Journal
Publication Date: 2011-Jul
Abstractor: As Provided
Reference Count: 28
A Joint Modeling Approach for Reaction Time and Accuracy in Psycholinguistic Experiments
Loeys, T.; Rosseel, Y.; Baten, K.
Psychometrika, v76 n3 p487-503 Jul 2011
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.
Descriptors: Reaction Time, Psycholinguistics, Simulation, Word Recognition, Correlation, Guidelines, Indo European Languages, English, Bayesian Statistics, Models
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
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