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Review
. 2015 Aug;68(4):340-5.
doi: 10.4097/kjae.2015.68.4.340. Epub 2015 Jul 28.

What repeated measures analysis of variances really tells us

Younsuk Lee  1
Affiliations
Review

What repeated measures analysis of variances really tells us

Younsuk Lee. Korean J Anesthesiol. 2015 Aug.

Abstract

This article examined repeated measures analysis of variance (RMANOVA). Within-subjects repeated measurements are unavoidable during clinical and experimental investigation, and between- and within-subject variability should be treated separately. Only through proper use and meticulous interpretation can ethical and scientific integrity be guaranteed. The philosophical background of, and knowledge pertaining to, RMANOVA are described in the first half of this text. The sphericity assumption and associated issues are discussed in the latter half. The final section provides a summary measure analysis, which was neglected by P value-dependent interpreters.

Keywords: Data interpretation; Repeated measurements; Sphericity condition.

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Conflict of interest statement

Declaration of Interest: Y.L. is the Editor-in-Chief of the KJA.

Figures

Fig. 1
Fig. 1. Graphical representation of the concept of analysis of variance (ANOVA). The designated variabilities reduce total variability, and the areas of the rectangles denote the amount of variability. (A) ANOVA model of the effects of age, gender, and their interactive effect. (B) Repeated measures ANOVA model of the effects of age, gender, and their interactive effect. The effects of age, and the age : gender interaction, are estimated within-subjects.
See this image and copyright information in PMC

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