ABSTRACT
The previous chapters have allowed us to examine procedures that provide for the analyses of multiple independent variables, which are very useful tools as it is rarely the case that a single variable can account for all the variation of the dependent variable. This chapter brings in a bit of the ‘old’ as it is an extension of the analysis of variances procedures with which we are already familiar, and it also brings in the ‘new’ as we are now examining more than one dependent variable-thus the name, multivariate (i.e., multiple dependent variables) analysis of variance (MANOVA). There are many different variations of MANOVA, just as there were with ANOVA. This chapter will focus on single and factorial designs, as well as repeated measures MANOVA.
