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...s (Mplus being the most prominent.) 4. If you do not wish to assume the true score is a linear function (or generalized linear function for categorical variables) of the attribute being measured, then you have a more difficult problem. If presume you are familiar with SEMnet at http://www.gsu.edu/~mkteer/semnet.html. Joe -----Original Message----- From: "Jens Oehlschl??gel" [mailto:joehl at gmx.de] Sent: Thursday, May 13, 2004 4:06 AM To: r-help at stat.math.ethz.ch Subject: [R] please help with estimation of true correlations and reliabilities Can someone point me to literature and/...

Sorry if this question has been asked previously, I searched but found little. There also doesn't seem to be a dedicated SEM list-serv so hopefully this will find its way to the appropriate audience. In discussing SEM with a colleague I mentioned that a model they were fitting in AMOS was equivalent to a linear regression and that the coefficients would be the same. This of course was the

dear all, I am a new comer to R and statistic. Now I have a little confuse about the package pls. I have to use 5 components to form a model. There are strong relationship between some of the components, which leads to the changes of the sign of each coeficeince, of course this is unwanted when using the normal regression way. So I choose the way of PLS, which is good at solve this kind of

Hi R-colleagues. In the sem-package i have a problem to introduce hidden variables. As a simple example I take an ordinary factor analysis. The program: cmat=c(0.14855886, 0.05774635, 0.08003300, 0.04900990, 0.05774635, 0.18042029, 0.11213013, 0.03752475, 0.08003300, 0.11213013, 0.24646337, 0.03609901, 0.04900990, 0.03752475, 0.03609901, 0.31702970)