Evaluating significance in linear mixed-effects models in R

Mixed-effects models are being used ever more frequently in the analysis of experimental data. However, in the lme4 package in R the standards for evaluating significance of fixed effects in these models (i.e., obtaining p -values) are somewhat vague. There are good reasons for this, but as research...

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Veröffentlicht in:	Behavior research methods Jg. 49; H. 4; S. 1494 - 1502
1. Verfasser:	Luke, Steven G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2017
Schlagworte:	Behavioral Science and Psychology Cognitive Psychology Humans Linear Models Psychology Sample Size Statistics as Topic Type 1 error lme4 Linear mixed-effects models Statistics values p-values
ISSN:	1554-3528, 1554-3528
Online-Zugang:	Volltext
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