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 David Brazel posted on Wednesday, December 13, 2017 - 4:07 pm
I have intensive longitudinal data measured on a twin sample. I'd like to fit DSEM models to these data but with a three level structure - measurements within individuals within twin pairs. The documentation doesn't appear to have any examples with a three level structure. Is it possible to fit this type of model in MPlus?
 Bengt O. Muthen posted on Wednesday, December 13, 2017 - 4:34 pm
Not yet, but I don't think you need it here. Just let the two twins correspond to bivariate outcomes.
 Ruixue, Z.Y. posted on Thursday, March 22, 2018 - 3:26 pm

I also have an intensive longitudinal data in which participants (level 3) completed up to 7 assessments (level 1) per day for 14 days (level 2). I'd like to use DSEM models to examine the association between X and Y (both measured at level 1) at three levels: momentary, daily, and between-person level.
(1) Is it possible to fit such a model in Mplus 8.0?

(2) Can I use the cross-classified time series analysis(example 9.38) to fit such a model?

Thank you!
 Tihomir Asparouhov posted on Friday, March 23, 2018 - 9:49 am
You can take a look at
part 6, page 48-53

I would recommend first to do the two-level model where you have 7*14 times of observations so the cluster variable would be individual with 98 observations in each cluster and using the tinterval command to specify the time of observation. This two-level model can then be extended to a cross-classified model as in example 9.38.
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