Balancing Type I error and power in linear mixed models

•We show that “Keeping it maximal” comes with a cost for LMMs.•Maximal models may lose power if their complexity is not supported by the data.•Model selection can balance Type-I error rates with power. Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statis...

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Bibliographic Details
Published in:	Journal of memory and language Vol. 94; pp. 305 - 315
Main Authors:	Matuschek, Hannes, Kliegl, Reinhold, Vasishth, Shravan, Baayen, Harald, Bates, Douglas
Format:	Journal Article
Language:	English
Published:	Elsevier Inc 01.06.2017
Subjects:	Hypothesis testing Linear mixed effect model Power Hypothesis testing Linear mixed effect model Power
ISSN:	0749-596X, 1096-0821
Online Access:	Get full text
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