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st: sem model fit with svy prefix
From
"Brian Carolan" <[email protected]>
To
[email protected]
Subject
st: sem model fit with svy prefix
Date
Thu, 13 Mar 2014 12:03:23 -0700
Hi,
I am fitting a sem model with the svy prefix in Stata SE 13.1. After
describing the survey characteristics with svyset, I then run a basic
path model similar to this:
.svy linearized: sem (y <- x,) (m <- x,) (y <- m,), method(mlmv)
standardized nocapslatent
This part is straightforward. However, when I request the model's
goodness-of-fit statistics, I only get the model's coefficient of
determination, and not the other conventional fit statistics
(chi-square, CFI, RMSEA, etc.).
I am sure that this has to do with the fact that there is no longer a
sample likelihood value. Other than pointing this out to reviewers, is
there an acceptable way around this; for example, report the fit
statistics without the design-based adjustment?
Thanks for any help.
Regards,
Brian Carolan
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Associate Professor of Quantitative Research Methods
Department of Educational Foundations
Montclair State University
2161 University Hall
1 Normal Avenue
Montclair, NJ 07043
E-mail: [email protected]
Phone: 973.655.7175
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