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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 default 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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