Attachment | Size |
---|---|
R code.txt [6] | 3.39 KB |
I am a new OpenMX|umx user and am trying to fit a multigroup model. I have fitted two separate umxRAM models (one for each group) and then tried to repeat using the 'umxSuperModel' command. I seem to get very different model results between the multi group model and the separate group models. In the single groups models, there are fewer significant paths in one group, but the multi group appears to have identical significant paths (only varying between group in path weight magnitude)?
The SE for the parameter estimates in the multi group model are much smaller as I guess this is due to larger number of observations, so perhaps this explains the difference? How do you test measurement invariance in the multi group model please?
The R code is attached. Thanks for any advice.