Introduction to Two-Way Multivariate Analysis of Covariance (Two-Way MANCOVA)

This video is an introduction to the two-way multivariate analysis of covariance (two-way MANCOVA) including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. A MANCOVA has one or more covariates. The assumptions of multivariate normality, homogeneity of variance-covariance matrices, and linearity are reviewed.