I specified a cross-lagged model using MLR with two waves and 5 variables (1 = manifest, continuous + 4 = latent factors assuming strong measurement invariance). This model and moderations by age and gender (via multi-group) worked fine.
I was asked to rerun this model including only manifest, binary variables to assess the clinical meaningfulness. I'm wondering if it's adequate to specify such a model? If yes, is this specification done properly using WLSMV:
X1 ON SES; X2-4 ON age gender SES;
Y1 ON SES; Y2-4 ON age gender SES;
X1 WITH X2 X3 X4 X5; X2 WITH X3 X4 X5; X3 WITH X4 X5; X4 WITH X5;