Glossary

Multiple analysis of variance (MANOVA)

Multiple analysis of variance (MANOVA):

MANOVA is a technique which determines the effects of independent categorical variables on multiple continuous dependent variables. It is usually used to compare several groups with respect to multiple continuous variables.

The main distinction between MANOVA and ANOVA is that several dependent variables are considered in MANOVA. While ANOVA tests for inter-group differences between the mean values of one dependent variable, MANOVA tests for differences between centroid s – the vectors of the mean values of the dependent variables.

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