Overview: Logistic regression is typically employed when the researcher has a binary dependent variable and one or more predictor variables, metric or categorical.
- It is a specific instance of the generalised linear model.
- Some of my own materials on logistic regression are located HERE.
- NCFR provide an example of reporting logistic regression.
SPSS (PASW) Resources:
- David Garson provides useful notes on logistic regression in general, and with particular guidance on SPSS output interpretation.
- Another example of SPSS output interpretation, this time from UCLA.
- And one more example of SPSS output interpretation
- Explanation of SPSS (PASW)'s generalized linear modelling tool. This is a new and more general tool than the Analyze >> Regression >> Binary Logistic tool.
- Quick-R describes how to run a logistic regression using the glm() function. Quick-R as usual gets you up and running quickly.
- Another example using glm()
- Hmisc and Design packages also provide functions for logistic regression.
