What are the assumptions required to perform a multivariate analysis of covariance (MANOVA), and how can violations of these assumptions affect the results?

MANOVA assumptions include multivariate normality, homogeneity of variance-covariance matrices, linearity, and absence of multicollinearity. Violations can lead to inaccurate F-tests, increased Type I or Type II errors, and invalid conclusions. Ensuring assumptions are met is crucial for reliable results.

Start Using PopAi Today