A multinomial logistic regression (or multinomial regression for short) is used when the outcome variable being predicted is nominal and has more than two categories that do not have a given rank or order. This model can be used with any number of independent variables that are categorical or continuous.
In addition to the two mentioned above:
Running Logistic Regression in SPSS
Reporting Results in APA Style
A multinomial logistic regression was performed to create a model of the relationship between the predictor variables and membership in the three groups (low SES, mid SES, and high SES). The fit between the model containing only the intercept and data improved with the addition of the predictor variables, X^2(20, N = 625) = 61.20, Nagelkerke R2 = .33, p < .001.