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

被引：5684
|
作者：
Baayen, R. H. [1 ]
Davidson, D. J. [2 ]
Bates, D. M. [3 ]
机构：
[1] Univ Alberta, Dept Linguist, Edmonton, AB T6G 2E5, Canada
[2] Max Planck Inst Psycholinguist, NL-6500 AH Nijmegen, Netherlands
[3] Univ Wisconsin, Dept Stat, Madison, WI 53706 USA
来源：
JOURNAL OF MEMORY AND LANGUAGE | 2008年 / 59卷 / 04期
关键词：
Mixed-effects models; Crossed random effects; Quasi-F; By-item; By-subject;
D O I：
10.1016/j.jml.2007.12.005
中图分类号：
H0 [语言学];
学科分类号：
030303 ; 0501 ; 050102 ;
摘要：
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.
引用
收藏
页码：390 / 412
页数：23
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