I am trying to replicate an analysis done in LISREL. Because I have ordinal indicators (7-point likert), I used polychoric correlations and an asymptotic covariance matrix in lisrel with diagonally weighted least squares. I am trying to do the same analyses in MPlus.
To do this, I used (1) categorical are... to make the indicators categorical. I also (2) used the WLSMV estimator. However, fit is much worse using this method than the lisrel procedure above. I found that ULSMV gave me a better approximation to the lisrel results, but still they are giving me a different pattern of results. Any idea how to use (1) polychoric, (2) asymptotic covariance matrix, and (3) diagonally weighted least squares in mplus?
Note: I am open to other procedures than the above, but at the very least I would like to be able to replicate the first analysis.
The same size is small, n = 146, so I was treating the data with caution anyway. However, I had expected the two software packages to converge at least a little more. It is a single-group analysis. I am analyzing raw data, not correlations.
Could it be the small sample size?
The fit good to fair in LISREL, but poor in MPlus. Note that we did the analyses in R and got results similar to MPlus's WLS results.