Hi Pablo,

Prof John Fox is a frequent contributor to this forum, and no-one is better 
placed than him to respond on your particular point, but I would use the sem 
and the polycor packages. There's an example in the documentation of sem which 
uses polychoric correlations.
Incidentally you haven't said which packages you'd used -lavaan perhaps?. 
Please do let the forum know which packages you use whenever posting a question.
Regards,

José

Prof. José Iparraguirre
Chief Economist
Age UK

Profesor de Economía
Universidad de Morón
Morón, Buenos Aires, Argentina



-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On 
Behalf Of Pablo Menese Camargo
Sent: 12 August 2013 02:37
To: R help
Subject: [R] SEM polychoric

I have this

mcfa<-
"impulsivity=~imp1r+imp2+imp3+imp4
physical=~phys1+phys2+phys3+phys4
risky=~risk1+risk2+risk3+risk4
selfish=~self1+self2+self3+self4
simple=~simp1+simp2+simp3+simp4r
temper=~temp1+temp2+temp3+temp4
control=~impulsivity+physical+risky+selfish+simple+temper"

where: the model is a second order CFA
the variables are dichotomic (0-1)
and I would like to use polychoric

when I have the same items but polytomous i use

fitcfa <- cfa(mcfa, data = data_analisis) summary(fitcfa, standardized = TRUE, 
fit.measure=TRUE) standardizedSolution(fitcfa, type = "std.all")

anyone know what y should do to apply polychoric?

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