Re: st: assessing model fit when using method(mlmv) vce(cluster clustervar)

[John Antonakis <John.Antonakis@unil.ch>]

Hi:

At this time, Stata cannot do it, unfortunately, with -sem-. This is 
technically possible. Stata can do this with ivregress if the -robust- 
or -cluster- option is used. Likewise, so can -overid- do it.  Mplus, a 
competing SEM software package does provide a robust chi-square test of 
fit so it is also possible with latent variables (Mplus even allows 
categorical and ordinal indicators, as well as a robust test of fit 
based on a WLS estimator).  I hope that the Stata people are listening 
in and will plan this on the next -sem- upgrade (I have made this 
suggestion already to technical support).

Best,
J.

__________________________________________

Prof. John Antonakis
Faculty of Business and Economics
Department of Organizational Behavior
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
http://www.hec.unil.ch/people/jantonakis

Associate Editor
The Leadership Quarterly
__________________________________________

On 23.07.2012 05:48, Stratford, Brandon J. wrote:
> I am new to sem in stata. How does one assess model fit when using cluster-robust variance estimation? I am only provided with SRMR and CD when I ask for goodness-of-fit indices.
>
>
> Brandon Stratford, LICSW
> PhD Candidate
> Bloomberg School of Public Health
> Johns Hopkins University
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/