MODEL: precoll BY V1-V4; V2 WITH V1; instemp BY V7-V10; V9 WITH V7; peers BY V11-V13; fit BY V14-V17; V17 WITH V15; attract BY V18-V21; V19 WITH V18; intent BY V22-V24; V5 V6 ON precoll; fit ON V5 V6 instemp peers; attract ON fit; intent ON precoll attract;
1. What is the best method to estimate my model given that I have missing data and both categorical and continuous variables?
2. When I ran the model, it did not produce model fit statistics and it said that it couldn't produce MODINDICIES because of the binary variable. Is there a way to gather this information?
3. I would like to estimate indirect, direct, and total effects between all of the variables. What is the best way to do that? What would I have to include beside IND or VIA statements?
Also, when I ran the model using ML without the model indirect commands, all of the Betas were 0.000. Is there a way to get path coefficients when there are continuous and categorical variables in the model?