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- Mod 1 - Foundation
- Mod 2 - Simple Reg
- Mod 3 - Multiple Reg
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Mod 4 - Log Reg
- 4.1 Overview
- 4.2 Odds, Odds Ratios and Exponents
- Quiz A
- 4.3 A General Model
- 4.4 Log Reg Model
- 4.5 Logistic Equations
- 4.6 How good is the model?
- 4.7 Multiple Explanatory Variables
- 4.8 Methods of Log Reg
- 4.9 Assumptions
- 4.10 Example from LSYPE
- 4.11 Log Reg on SPSS
- 4.12 SPSS Log Reg Output
- 4.13 Interaction Effects
- 4.14 Model Diagnostics
- 4.15 Reporting the Results
- Quiz B
- Exercise
- Mod 5 - Ord Reg
- Further Adventures
- PDFs
- Videos
- Extensions
Module 4 - Binary Logistic Regression
There are multiple pages to this module that you can access individually by using the contents list below. If you are new to this module start at the overview and work through section by section using the 'Next' and 'Previous' buttons at the top and bottom of each page. Be sure to tackle the exercises and the quiz to get a firm understanding. This Module is also available as a downloadable PDF for those of you who prefer to read from a page. You do miss out on the glossary and some of the site's more interactive features though... Module 4: Logistic Regression
Contents
4.2 An introduction to Odds, Odds Ratios and Exponents 4.3 A general model for binary outcomes 4.4 The logistic regression model 4.5 Interpreting logistic equations 4.7 Multiple Explanatory Variables 4.8 Methods of Logistic Regression 4.11 Running a logistic regression model on SPSS 4.12 The SPSS Logistic Regression Output 4.13 Evaluating interaction effects |