Re: [R] path analysis

From: John Fox <jfox_at_mcmaster.ca>
Date: Mon 15 Aug 2005 - 07:20:36 EST


Dear Manuel and list,

I see that I wrote "point-biserial" when I meant "biserial."

Sorry,
 John



John Fox
Department of Sociology
McMaster University
Hamilton, Ontario
Canada L8S 4M4
905-525-9140x23604
http://socserv.mcmaster.ca/jfox

> -----Original Message-----
> From: r-help-bounces@stat.math.ethz.ch
> [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of John Fox
> Sent: Sunday, August 14, 2005 1:34 PM
> To: 10133msb@comb.es
> Cc: r-help@stat.math.ethz.ch
> Subject: Re: [R] path analysis
>
> Dear Manuel,
>
> Polychoric correlations imply only that the *latent*
> variables are continuous -- the observed variables are
> ordered categories. Tetrachoric and point-biserial
> correlations are special cases respectively of polychoric and
> polyserial correlations. As long as you're willing to think
> of the dichotomous variable as the dissection into two
> categories of a latent continuous variable (and assuming
> multinormality of the latent variables), you can use the
> approach that I suggested. This isn't logistic regression,
> but it's similar to a probit model.
>
> Regards,
> John
>
> --------------------------------
> John Fox
> Department of Sociology
> McMaster University
> Hamilton, Ontario
> Canada L8S 4M4
> 905-525-9140x23604
> http://socserv.mcmaster.ca/jfox
> --------------------------------
>
> > -----Original Message-----
> > From: r-help-bounces@stat.math.ethz.ch
> > [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of
> Manel Salamero
> > Sent: Sunday, August 14, 2005 12:34 PM
> > To: r-help@stat.math.ethz.ch
> > Subject: Re: [R] path analysis
> >
> > This solves part of my problem with the independent ordinal
> variables,
> > but my dependent variable is truly categorial (illness/no illness).
> > Polychoric correlation implies that data are continuous,
> which in not
> > the case. Is possible to implement logistic regression in the path
> > model?
> >
> > Thanks,
> >
> > Manel Salamero
> >
> > ---------- Original Message ----------------------------------
> > De: "John Fox" <jfox@mcmaster.ca>
> > Data: Sat, 13 Aug 2005 19:35:24 -0400
> >
> > Dear Manel,
> >
> > > -----Original Message-----
> > > From: r-help-bounces@stat.math.ethz.ch
> > > [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of
> > SALAMERO BARO,
> > > MANUEL
> > > Sent: Saturday, August 13, 2005 2:02 PM
> > > To: r-help@stat.math.ethz.ch
> > > Subject: [R] path analysis
> > >
> > > Someone knows if it is possible to perform a path
> analysis with sem
> > > package (or any other) to explain a dependent
> > > *dichotomus* variable?
> > >
> >
> > Yes -- you can use the hetcor() function in the polycor package to
> > generate a correlation matrix and boot.sem() in the sem
> package to get
> > standard errors or confidence intervals. Make sure that the
> > dichotomous variables are represented as factors. See
> ?boot.sem for an
> > example.
> >
> > I hope this helps,
> > John
> >
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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 Received on Mon Aug 15 07:29:25 2005

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