Troubleshooting
Problem
Where can I find more information on the multinomial logistic regression procedure (NOMREG) in SPSS?
Resolving The Problem
To view the Case Studies, follow these steps.
1. From the SPSS menus go to Help->Case Studies.
2. In the Internet Explorer window that pops up, click the plus sign (+) next to Regression Models Option.
3. Click on Multinomial Logistic Regression (NOMREG).
Here is the table of contents for the NOMREG Case Studies.
____________________
Multinomial Logistic Regression
I. The Multinomial Logistic Regression Model
II. Using Multinomial Logistic Regression to Profile Consumers of
....Packaged Goods
....A. Running the Analysis
....B. Model Diagnostics
.......1. Warnings
.......2. Goodness-of-Fit
.......3. Observed and Predicted Frequencies
.......4. Model Fitting Information
....C. Choosing the Right Model
.......1. Likelihood Ratio Tests
.......2. Pseudo R Square
.......3. Classification Table
....D. Multinomial Logistic Regression Coefficients
....E. Summary
III.Using Multinomial Logistic Regression to Classify
....Telecommunications Customers
....A. Running the Analysis
....B. Stepwise Multinomial Logistic Regression
....C. A Note of Caution Concerning Stepwise Methods
....D. Classification Results
....E. Summary
IV. Using Multinomial Logistic Regression to Analyze a 1-1 Matched
....Case-Control Study
....A. Data File Setup for Case-Control
....B. Running the Analysis
....C. Model Diagnostics
.......1. Model Fitting Information
....D. Choosing the Right Model
.......1. Likelihood Ratio Tests
....E. Multinomial Logistic Regression Coefficients
....F. Summary
V. Related Procedures
VI. Recommended Readings
____________________
The data sets used in these case studies are named cereal.sav, telco.sav, and insure.sav. You will find copies of these files (and all of the data sets used in the SPSS Case Studies) in the /tutorial/sample_files subdirectory of the folder in which SPSS was installed.
Related Information
Historical Number
40695
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Document Information
Modified date:
16 April 2020
UID
swg21480265