When the DVs are categorical variables, different analyses should be used.
The most common (and the only one discussed in class) is the case of a binary outcome variable. If this is the case either Logit or Probit should be used. Logistic regression estimates the probability of the outcome variable having a certain value (as opposed tot he value itself).
When there are more than two outcome variables, we need multiple logistic regressions solved simultaneously.