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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of memory and language Jg. 59; H. 4; S. 390 - 412
Hauptverfasser: Baayen, R.H., Davidson, D.J., Bates, D.M.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Elsevier Inc 01.11.2008
Elsevier
Elsevier BV
Schlagworte:
Analysis
By-item
By-subject
Computer Modeling and Simulation
Computer Software
Crossed random effects
Evaluation Methods
Inquiry
Measurement
Measures
Mixed-effects models
Psycholinguistics
Quasi-F
Random effects
Research Design
Simulation
Software
Statistical Analysis
Statistical methods
Quasi-F
By-subject
By-item
Crossed random effects
Mixed-effects models
ISSN:0749-596X, 1096-0821
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
Bibliographie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0749-596X
1096-0821
DOI:10.1016/j.jml.2007.12.005