I´m doing multivariate modeling on a dataset where the dependent variable is ordinal-values running from 0-11. So far I´ve done general linear models and it runs alright. However, I´d also like to run it as an logistic ordinal regression.
- What is the recommended maximum number of categories in the dependent ordinal variable?
- Would I need to cut the variable into groups and reduce the number of possible categories?
- How can I compare the fit of an ordinal-outcome model to a linear regression model? Especially, if the ordinal variable has been cut into fewer groups?