You can see from the above model that I do not want to specify answer4 to load on B_Factor at the between level.
My understanding is that variables have to be present at both levels, so how could the variable 'answer4' be handled?
For continuious data using ML in EQS for example I would merely estimate the error variance for answer4 at the between level but because I am new to MPLUS and because treating data as categorical I need advice as to the appropriate way to proceed.
Thank you Bengt. Changing the topic slightly, lets us say that for wahtever reason I wanted to remove the cluster-level item specific erros for all 4 items then am I right in thinking that all I need to do to achieve this is to fix these to 0 at the between level? As per below:
CATEGORICAL: answer1 answer2 answer3 answer4; ANALYSIS: TYPE IS TWOLEVEL; ESTIMATOR IS WLSMV;