The MANOVA uses the covariance-variance between variables to test for the difference between vectors of means. … You measure how men and women did in life in multiple ways: income, number of promotions gained, and a test of overall job happiness of each individual (these are your dependent variables).

When would you use a MANOVA?

MANOVA can be used when we are interested in more than one dependent variable. MANOVA is designed to look at several dependent variables (outcomes) simultaneously and so is a multivariate test, it has the power to detect whether groups differ along a combination of dimensions.

Why use a MANOVA instead of ANOVA?

The correlation structure between the dependent variables provides additional information to the model which gives MANOVA the following enhanced capabilities: Greater statistical power: When the dependent variables are correlated, MANOVA can identify effects that are smaller than those that regular ANOVA can find.