DSEM data and interaction questions PreviousNext
Mplus Discussion > Dynamic Structural Equation Modeling >
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 Charlotte Vrijen posted on Wednesday, December 20, 2017 - 7:09 am
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?

Many thanks in advance!
 Bengt O. Muthen posted on Wednesday, December 20, 2017 - 1:50 pm
Q1: It is the usual issue - if missingness is not influenced by X or Y and Z at an earlier time point so that MAR holds.

Q2: You can add a fake autoregressive path

W on W&1@0

The interactions at this point can be explored using observed interactions (although that might not work if you have missing data).

Q3: You can try categorizing the variables and treating them as ordinal.
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