The anova to mixed model transition

被引：264

作者：

Boisgontier, Matthieu P. ^{[1
]}

Cheval, Boris ^{[2
]}

机构：

[1] Katholieke Univ Leuven, Dept Kinesiol, Movement Control & Neuroplast Res Grp, Biomed Sci Grp, Leuven, Belgium

[2] Univ Geneva, Methodol & Data Anal Res Grp, Fac Psychol & Educ Sci FAPSE, Geneva, Switzerland

来源：

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS | 2016年 / 68卷

关键词：

Analysis of variance; Linear mixed-effects models; Neuroscience; Statistics; NEUROSCIENCE;

D O I：

10.1016/j.neubiorev.2016.05.034

中图分类号：

B84 [心理学]; C [社会科学总论]; Q98 [人类学];

学科分类号：

03 ; 0303 ; 030303 ; 04 ; 0402 ;

摘要：

A transition towards mixed models is underway in science. This transition started up because the requirements for using analyses of variances are often not met and mixed models clearly provide a better framework. Neuroscientists have been slower than others in changing their statistical habits and are now urged to act. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：1004 / 1005

页数：2

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