Attachment | Size |
---|---|
DATOS1.dat [6] | 633 bytes |
CLUSTER.dat [7] | 415 bytes |
sintaxisLISREL.txt [8] | 2 KB |
Fixed-Cluster.R [9] | 1.93 KB |
Fixed-effect(4).R [10] | 709 bytes |
Dear Mike,
I am sorry for bothering you again...but I have another question!
In the document attached (DATOS1.dat) I have six matrices. I did a cluster analysis in order to find some moderators (commands are attached in Fixed-cluster.R), dividing the data in two blocks : the first and second matrices are in one block, and the other four matrices in another. When I execute the first stage, it turned out that the second block (the fourth last matrices) are homogeneous (Chi-square=28.9735, df=26, p=.3123). Until here, everything seems correct.
After that, I tried to carried out a fixed-effect model with only the four matrices (commands are attached in Fixed-effects(4).R) that were homogeneous in the previous analysis (you can find these matrices in CLUSTER.dat). The results from the first stage are not what I expected (Chi-square=60.2163, df=26, p<.01). Now, those four matrices do not seem to be homogeneus as we reject the null hypothesis. Why is this happening? Does it have something to do with the way I encode the missing variables?
And this is not all. I did the same analysis in LISREL (sintaxisLISREL.txt, I could not attach the .cfg file) with the four homogeneous matrices and the chi-square is almost the double (175.387), and the null hyphotesis is also rejected.
I guess that I'm doing some wrong...but I cant find what. Once again, thank you very much for your attention and the time you spend in this forum answering all our doubts!
King Regards,
Belén