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 in: Psychological methods Vol. 23; no. 3; p. 389
• Main Authors: Brauer, Markus, Curtin, John J
• Format: Journal Article
• Language: English
• Published: United States 01.09.2018
• Subjects: Data Interpretation, Statistical; Humans; Linear Models; Psychology - methods; Research Design

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 within-unit predictors with re...