Stats #04: Using SPSS to Develop a Logistic Regression Model

Content: This three hour training class will give you a general introduction in how to use SPSS software to compute logistic regression models. Logistic regression models provide a good way to examine how various factors influence a binary outcome. There are three steps in a typical logistic regression analysis: First, fit a crude model. Second, fit an adjusted model. Third, examine the predicted probabilities. These steps may not be appropriate for every logistic regression analysis, but they do serve as a general guideline. In this presentation, you will see these steps applied to data from a breast feeding study, using SPSS software.

Objectives: In this class, you will learn how to:

Teaching strategies: Didactic lectures and individual computer exercises.

IRB Education Credits:  This class does not qualify for IRB Education Credits (IRBECs).

Notes: There are no statistical prerequisites for this class. No statistical experience is necessary. This class will provide hands-on computer experience in the CMH computer lab using SPSS software. You will use two SPSS data sets for practice exercises: bf.sav and titanic.sav.

Outline:


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