Mixed-effects modeling with crossed random effects for subjects and items

This paper provides an introduction to mixed-effects models for the analysis of repeated measurement data with subjects and items as crossed random effects. A worked-out example of how to use recent software for mixed-effects modeling is provided. Simulation studies illustrate the advantages offered...

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Bibliographic Details
Published inJournal of memory and language Vol. 59; no. 4; pp. 390 - 412
Main Authors Baayen, R.H., Davidson, D.J., Bates, D.M.
Format Journal Article
LanguageEnglish
Published New York Elsevier Inc 01.11.2008
Elsevier
Elsevier BV
Subjects
By-item
By-subject
Computer Modeling and Simulation
Computer Software
Crossed random effects
Evaluation Methods
Inquiry
Mixed-effects models
Psycholinguistics
Quasi-F
Research Design
Simulation
Software
Statistical Analysis
Statistical methods
Quasi-F
By-subject
By-item
Crossed random effects
Mixed-effects models
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Summary:This paper provides an introduction to mixed-effects models for the analysis of repeated measurement data with subjects and items as crossed random effects. A worked-out example of how to use recent software for mixed-effects modeling is provided. Simulation studies illustrate the advantages offered by mixed-effects analyses compared to traditional analyses based on quasi-F tests, by-subjects analyses, combined by-subjects and by-items analyses, and random regression. Applications and possibilities across a range of domains of inquiry are discussed.
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ISSN:0749-596X
1096-0821
DOI:10.1016/j.jml.2007.12.005