Multivariate Analysis of Variance (MANOVA) is an extension of ANOVA that allows for the analysis of multiple dependent variables simultaneously, providing insights into the effect of independent variables on these multiple outcomes. It is particularly useful when the dependent variables are correlated, as it considers the potential interactions between them, offering a more comprehensive understanding of the data structure and relationships.