Random effects structure for confirmatory hypothesis testing: Keep it maximal
Abstract
Linear mixed-effects models (LMEMs) have become increasingly prominent in psycholinguistics and related areas. However, many researchers do not seem to appreciate how random effects structures affect the generalizability of an analysis. Here, we argue that researchers using LMEMs for confirmatory hypothesis testing should minimally adhere to the standards that have been in place for many decades. Through theoretical arguments and Monte Carlo...
Paper Details
Title
Random effects structure for confirmatory hypothesis testing: Keep it maximal
Published Date
Apr 1, 2013
Volume
68
Issue
3
Pages
255 - 278
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