Linear mixed-effects models for within-participant psychology experiments: an introductory tutorial and free, graphical user interface (LMMgui)

David A Magezi

doi:10.3389/fpsyg.2015.00002

Linear mixed-effects models for within-participant psychology experiments: an introductory tutorial and free, graphical user interface (LMMgui)

Front Psychol. 2015 Jan 22:6:2. doi: 10.3389/fpsyg.2015.00002. eCollection 2015.

Author

David A Magezi¹

Affiliation

¹ Neurology Unit, Laboratory for Cognitive and Neurological Sciences, Department of Medicine, Faculty of Science, University of Fribourg Fribourg, Switzerland.

Abstract

Linear mixed-effects models (LMMs) are increasingly being used for data analysis in cognitive neuroscience and experimental psychology, where within-participant designs are common. The current article provides an introductory review of the use of LMMs for within-participant data analysis and describes a free, simple, graphical user interface (LMMgui). LMMgui uses the package lme4 (Bates et al., 2014a,b) in the statistical environment R (R Core Team).

Keywords: R; experimental psychology; graphical user interface; linear mixed-effects models; within-participant design.

Publication types

Review