Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items.
Abstract
In this article we address a number of important issues that arise in the analysis of nonindependent data. Such data are common in studies in which predictors vary within units (e.g., within-subjects, within-classrooms). Most researchers analyze categorical null predictors with repeated-measures ANOVAs, but continuous null predictors with linear mixed-effects models (LMEMs). We show that both types of predictor variables can be analyzed within...
Paper Details
Title
Linear mixed-effects models and the analysis of nonindependent data: A unified framework to analyze categorical and continuous independent variables that vary within-subjects and/or within-items.
Published Date
Nov 27, 2017
Journal
Volume
23
Issue
3
Pages
389 - 411
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