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Multivariate Analysis of Variance (MANOVA)

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Edited by: Published: 2017
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Multivariate analysis of variance (MANOVA) is a statistical analysis used when a researcher wants to examine the effects of one or more independent variables (IVs) on multiple dependent variables (DVs). This method is an extension of the analysis of variance (ANOVA) model and is the most commonly used multivariate analysis in the social sciences. MANOVA tests, whether they are statistically significant or not, produce differences among levels of the IVs for multiple DVs. MANOVA tests belong to a larger family of statistical techniques known as the general linear model, which include analyses such as ANOVA, multiple types of regression, and repeated-measures designs.

MANOVA is an inferential statistical analysis. Communication researchers use this analysis to deduce a causal relationship between IVs and DVs. ...

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