Journal
JOURNAL OF MEMORY AND LANGUAGE
Volume 59, Issue 4, Pages 390-412Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jml.2007.12.005
Keywords
Mixed-effects models; Crossed random effects; Quasi-F; By-item; By-subject
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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. (C) 2007 Elsevier Inc. All rights reserved.
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