Analysis of Variance (Anova)

Robert L. Miller,C. Acton,Deirdre A. Fullerton,J. Maltby,J. Campling

Published 2022 in The SAGE Encyclopedia of Research Design

ABSTRACT

Analysis of variance (ANOVA) is a type of general linear model suitable for factorial designs, in which one is interested in the main effects of, and interactions between, one or more factors. ANOVA assumes a spherical error covariance, and violations such as correlation induced by repeated measures from the same subjects, or inhomogeneous variance across conditions, require either post hoc corrections to the degrees of freedom, partitioning of the error into separate error terms, or explicit modeling of the error covariance.

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