I have a questionnaire with about 20 questions that will result in ordered categorical variables. I also have about 10 background questions related to demographics and background. MY outcome is dichotomous.
How can I build a logistic regression model with so many ordinal categorical variables. The amount of dummy variables required (about 3-4 per question) would make the model unstable. My question is what is the best way to proceed with this data. Can they be entered as continuous variables so long as there is a linear relationship with the log odds? Or should I just build a model with the background questions and adjust the 20 variables with those factors. Of course this will miss a fair amount of confounding and interaction. I know a lot of this is vague without the clinical context.....sorry...... mcap . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
