(MDA) a multivariate statistical procedure for examining the relationship between a set of more than two categories representing an outcome variable and a set of predictor variables. It often is used to verify that the predictors (e.g., family history, self-esteem, number of sleeping hours) are accurately classifying individuals into the appropriate categories of the outcome variable (diagnosis of depression). Also called multiple classification analysis (MCA).