I have three questions regarding DSEM analyses and our data. We have 228 participants who filled in questionnaires 5 times a day, with random time intervals, for 11 days. So max 55 measures a day. We want to explore the reciprocal lagged associations between variables X,Y , Z.
Question 1: X was always filled in, Y and Z were only filled in when the participants were not alone, this was the case in 64% of all measurements. Is this kind of non-random missing an issue in DSEM?
Question 2: We would like to include within-person interaction terms with another variable (variable W) in our DSEM analyses, but there are 2 problems there. 1. We are not allowed to make product terms with the lagged variables. 2. We cannot add a lagged moderator (variable W) when there is no autoregressive path for this variable in the model. Is this in any way possible? If not, will this option be included in a future version of Mplus?
Question 3: Variables Y and Z have rather skewed distributions. Are there any recommendations about the max skewness of the data within the DSEM framework?