I am attempting to conduct a path analysis in which I have three waves of data. At each wave child aggression (continuous), punitive parenting (continuous), and mother repartnered (binary) are measured. I am also including a host of controls on which the Wave 1 variables are regressed. The final model is one in which all variables become endogenous except for the controls. I ran the models using the WLSMV estimator and the Theta parameterization because Mplus said Delta was unavailable. 1) I chose to use the WLSMV estimator. Is this correct based on my mix of continuous and binary dependent variables? 2) I have the option of running my models with values for child aggression and punitive parenting standardized (i.e. z-scored) or running the models using the raw scores. My gut says to run the models using all raw scores. What do you recommend? 3) My output contains unstandardized results with SEs, STDYX results with no SEs, and STD results with no SEs. If I want to report standardized results and if the IV is continuous and the DV is binary, I should look at the STDYX output. If the IV is binary and the DV is binary, then I should look at the STDY output (although this is not in my output). If the IV and the DV are continuous, then I should look at the STDYX results. Is this correct, and what output should I look at for the binary/binary case since STDY is not outputted?