The value command specifies that the allowed values are the integers between 0 to 11.
The differences between the two versions is that in the first version the estimated imputation model treats X1 as categorical, while in the second version X1 is treated as continuous and then the values are rounded to the nearest integer from 0 to 11.
You can probably try H0 imputation as in user's guide example 11.7 where you specify the imputation model yourself. For example analysis: mediator=observed; model: U2 on U1@-30; will yield the deterministic relation that if U1=1 then U2=1.
Hi Tihomir, I read through the example and I am not exactly sure I understand- I apologize. I will explain my specific data a little better to see if that will help. My predictor is a dichotomous, time-varying covariate with a continuous outcome variable. My dichotomous time-varying covariate can only go from 0 to 1 over time, and once it is imputed as a '1', it cannot go back to '0'. Is there a way to specify that? Thanks again, and apologies for seeking clarification.