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