If an ordinal variable has 20 categories, is it practical to try to handle this with thresholds? Or would it be better to treat as continuous?
It is practical, but the different between threshold analysis and continuous would be slight if the density distribution of the categories is approximately normal. A highly skewed 20 category variable may still be better analyzed as ordinal - depending on how it got that way. Of course, it's a lot more parameters and computationally slower to analyze ordinal data with lots of categories.
I am quite new for OpenMX. I have not figure out what the difference between binary data(with one threshold) with more than 2 category (say a variable with N category, so we have N-1 numbers of threshold).How does the script like? could you please give me some basic script as explaination? Thank you so much.