Also, various IRT packages might likely work, as IRT is really just SEM with
catagorial outcomes. See:
http://cran.r-project.org/src/contrib/Views/Psychometrics.html

Alex

On 8/19/07, John Fox <jfox@mcmaster.ca> wrote:
>
> Dear Upasna,
>
> I apologize for responding so late, but I was out of town when you posted
> your query to r-help.
>
> The sem() function in the sem package can handle dichotomous and ordered
> categorical observed variables via tetrachoric, polychoric, biserial, and
> polyserial correlations computed by the polycor package. See in particular
> the hetcor() function in that package, which can compute "heterogeneous"
> correlation matrices. Standard errors for parameter estimates in the SEM
> can
> then be computed by bootstrapping; see ?boot.sem in the sem package for an
> example with a confirmatory factor-analysis model for ordinal observed
> variables.
>
> I hope that this helps,
> John
>
> ------- original message -------
>
> Hi
>
> I am looking for a structural equation modeling package in R which can be
> used for categorical data. Is anyone aware of the existence of such a
> package? Would appreciate any help on this.
>
> Thank you
> Upasna
>
> --
> ---------------------------------------------------------------------
> Upasna Sharma
> Research Scholar
> Shailesh J. Mehta School of Management,
> Indian Institute of Technology, Bombay
> Powai, Mumbai - 400076, India
>
> --------------------------------
> John Fox, Professor
> Department of Sociology
> McMaster University
> Hamilton, Ontario
> Canada L8S 4M4
> 905-525-9140x23604
> http://socserv.mcmaster.ca/jfox
>
> ______________________________________________
> R-help@stat.math.ethz.ch mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
***************
A. Alexander Beaujean, Ph.D., LSSP
Licensed Psychologist (Provisional, TX)
http://myprofile.cos.com/abeaujean
http://www.baylor.edu/soe/faculty/index.php?id=38476


"General impressions are never to be trusted. Unfortunately when they are of
long standing they become fixed rules of life, and assume a prescriptive
right not to be questioned. Consequently those who are not accustomed to
original inquiry entertain a hatred and a horror of statistics. They cannot
endure the idea of submitting their sacred  impressions to cold-blooded
verification. But it is the triumph of scientific men to rise superior to
such superstitions, to devise tests by which the value of beliefs may be
ascertained, and to feel sufficiently masters of themselves to discard
contemptuously whatever may be found untrue." --Sir Francis Galton, FRS

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