Use General MANOVA to determine whether the means between two or more groups differ when you have multiple continuous response variables, a common set of categorical factors, and optional covariates. If the response variables are correlated, the MANOVA test can detect multivariate response patterns and smaller differences than are possible with separate ANOVA tests. For more information, go to Understanding MANOVA.
For example, an analyst at a manufacturer of building products wants to study the affects of different alloys on the strength and flexibility of the building products. Because strength and flexibility are correlated response variables, the analyst performs a general MANOVA to analyze the data.
To perform a general MANOVA, choose .
If you have either one response or multiple uncorrelated response variables, you can use Fit General Linear Model to get similar results.