user manual

Chapter
20
Complex Samples Logistic Regression
The Complex Samples Logistic Regression procedure performs logistic regression analysis on
a binary or multinomial dependent variable for samples drawn by complex sampling methods.
Optionally, you can request analyses for a subpopulation.
Using Complex Samples Logistic Regression to Assess Credit Risk
If you are a loan officer at a bank, you want to be able to identify characteristics that are indicative
of people who are likely to d efault on loans and then use those characteristics to identify good
and bad credit risks.
Suppose that a loan officer has collected past records of customers given loans at
several different branches, according to a complex design. This information is contained in
bankloan_cs.sav. For more information, see the topic Sample Files in Appendix A in IBM SPSS
Complex Samples 19. The officer wants to see if the probability with which a customer defaults is
related to age, employment history, and amount of credit debt, incorporating the sampling design.
Running the Analysis
E To create the logistic regression model, from the menus choose:
Analyze > Complex Samples > Logistic Regression...
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