ABSTRACT
MANOVA is the first multivariate method we cover that allows for multiple dependent variables. The previous presentation on intermediate methods as well as the topic of matrices discussed in Chapter 6 help in forming a base from which to discuss the rigorous capabilities of MANOVA. As we shall see shortly, background, central, and multiplicity themes also apply to MANOVA, similar to yet extending from what we saw with the methods of multiple regression (MR) and analysis of covariance (ANCOVA).
