Re: [R] Specifying Path Model in SEM for CFA

From: Rick Bilonick <rab_at_nauticom.net>
Date: Thu 17 Aug 2006 - 22:06:52 EST

On Wed, 2006-08-16 at 17:01 -0400, John Fox wrote:
> Dear Rick,
>
> It's unclear to me what you mean by constraining "each column of the factor
> matrix to sum to one." If you intend to constrain the loadings on each
> factor to sum to one, sem() won't do that, since it supports only equality
> constraints, not general linear constraints on parameters of the model, but
> why such a constraint would be reasonable in the first place escapes me.
> More common in confirmatory factor analysis would be to constrain more of
> the loadings to zero. Of course, one would do this only if it made
> substantive sense in the context of the research.
>
> Regards,
> John
>
> --------------------------------
> John Fox
> Department of Sociology
> McMaster University
> Hamilton, Ontario
> Canada L8S 4M4
> 905-525-9140x23604
> http://socserv.mcmaster.ca/jfox
> --------------------------------

I'm trying to build a multivariate receptor model as described by Christensen and Sain (Technometrics, vol 44 (4) pp. 328-337). The model is

x_t = Af_t + e_t

where A is the matrix of nonnegative source compositions, x_t are the observed pollutant concentrations at time t, and f_t are the unobserved factors. The columns of A are supposed to sum to no more than 100%. They say they are using a latent variable model. If sem can't handle this, do you know of another R package that could?

Rick B.



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