Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R

Mixed-effects models are a powerful tool for modeling fixed and random effects simultaneously, but do not offer a feasible analytic solution for estimating the probability that a test correctly rejects the null hypothesis. Being able to estimate this probability, however, is critical for sample size...

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Bibliographic Details
Published in:	Behavior research methods Vol. 53; no. 6; pp. 2528 - 2543
Main Authors:	Kumle, Levi, Võ, Melissa L.-H., Draschkow, Dejan
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.12.2021 Springer Nature B.V
Subjects:	Behavioral Science and Psychology Cognitive Psychology Computer Simulation Data Generalized linear models Humans Linear analysis Linear Models Null hypothesis Planning Power Probability Psychology Random effects Reliability Reproducibility of Results Research design Sample Size Simulation World problems lme4 R Simulation mixedpower Power Mixed models
ISSN:	1554-3528, 1554-351X, 1554-3528
Online Access:	Get full text
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