**MANOVA stands for multivariate analysis of variance.**

By using MANOVA we can test more than one dependent variable simultaneously.

The one-way multivariate analysis of variance (one-way **MANOVA**) is used to determine whether there are any differences between independent groups on more than one continuous dependent variable. In this regard, it differs from a one-way ANOVA, which only measures one dependent variable. **MANOVA** is useful when **you** have correlated response variables like these. **You** can also see that for a given flexibility score, Alloy 3 generally has a higher strength score than Alloys 1 and 2. **We** can **use MANOVA to** statistically test for this response pattern **to** be sure that it’s not due **to** random chance.

inferential statistical analysis

**MANOVA** is an inferential statistical analysis. Communication **researchers use** this analysis to deduce a causal relationship between IVs and DVs. The **researcher** can then take the results of a **study** conducted on a smaller sample, or subset of the population, and generalize those results to a larger population