Hi, I am not sure if R-help is the right forum for my question. If not, please let me know.
I have to do some discriminant validity tests with some constructs. I am using the method of doing a CFA constraining the correlation of a pair of the constructs to 1 and comparing the chi-square of this constrained model to the unconstrained model. If the chi-square difference is not significant, then I cannot reject the null hypothesis that the two constructs are equal. Well, if you are going to test, say, 4 constructs (A, B, C, and D), you will have to have 2*C(4,2) = 12 models to test, 5 constructs, 20 models, and so forth. A tedious and error prone process... So far, I have been using AMOS for that shake, given that 1) my university has the license, 2) my other colleagues use it, and 3) I know it ;) I would like to know if any of you use R, namely the sem package, for that application and if you can share your thoughts/experiences on using it. I don't thing I would have problems "porting" my models to R/sem, but I would like to know if there is an optimized process of doing that tests, without manually coding all the dozens of models. Best, Iuri. ______________________________________________ R-help@r-project.org 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.
