I am a new Mplus user--thanks for any help or advice!
I'm trying to run a measurement model + multiple paths (SEM). I've pasted my model syntax below. There are 8,037 observations (no missing data). The outcome (o1) is binary; I'm using ESTIMATOR = ML. I have three latent variables (f1, f2, f3), and all of my indicators are binary (a1-a16) or ordinal/categorical (b1-b9, c1-c5). I am testing 4 different measured mediators (m1-m4), and I have 6 measured covariates (x1-x6).
I have two questions:
1. MPlus has been running for almost 2 hours now. I'm wondering if this is usual--perhaps given the complexity, number of dimensions in my model--or if I need to adjust any settings to help the model converge?
2. Are there any issues with combining binary indicators (latent variable f1) and ordinal indicators (latent variables f2 and f3)? E.g., would the interpretation of the coefficients change for these different factors?
MODEL: f1 BY a1-a16; f2 BY b1-b9; f3 BY c1-c5; o1 ON f1 f2 f3 m1-m4 x1-x6; m1 ON f1 f2 f3 x1-x6; m2 ON f1 f2 f3 x1-x6; m3 ON f1 f2 f3 x1-x6; m4 ON f1 f2 f3 x1-x6; f1 ON x1-x6; f2 ON x1-x6; f3 ON x1-x6;
I'm a student & am running the analysis on my own laptop, which has 1 processor (dual core), so perhaps this explains the long running time.
I tried your suggestion with the integration=montecarlo(500) command. This reduced the running time from 4.5 hours to 1 hour.
I did check the TECH8 output. The ABS change was negative after the sixteenth step. Can you tell me how to interpret this? I also noticed that while most of the coefficients are approximately the same, some were fairly different.