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Greeting everyone!
As I'm new to SEM (in general) and OpenMx I would like to ask you for some help in specifying the model in question properly.
I'm trying to reproduce results for a 3 time points path model where specific indirect effects where of interest. The original model was depicted as in attached image.
There are 4 constructs (CN, IS, SE, OD) measured in 3 time points. In the original model, SE and OD are standardized simple aggregates of scale items, BUT CN and IS where first adjusted to clear shared variance, that is, each timepoint CN and each corresponding timepoint IS is represented by standardized residuals from regressions:
CN_T1 = resid(lm(meanCN_T1 ~ meanIS_T1))
IS_T1 = resid(lm(meanIS_T1 ~ meanCN_T1))
What I'd like to do, is to code a model, where CN, IS, SE, OD at each time point are latent variables measured by raw score items, while mirroring what was originally done to CN and IS (i.e. residualized scores).
Also I'm not sure what do the authors of the original model mean when saying that:
The four T2 disturbances are allowed to correlate with one another and the four T3 disturbances were allowed to correlate with one another; correlations not shown.
And how to code this properly in OpenMx syntax.
Eventually I'd like to test the indirect effect of SE_T1 on OD_T3 via both CN_T2 and IS_T2.
I know that's a lot to ask, but could anyone help me out the code?
I'm happy to answer any questions if I didn't make myself clear at some point.
Thank you!