I was trying to find some details on how the Wald test was calculated when the model test: option is used. I couldn't find any details on the website - are there some anywhere, or can you recommend a reference?
Hello, I was running a Wald test and now I wonder if it is possible to compute an effect size for a significant wald test?! I read something about Cohens's q (Cohen, 1988). Would that be appropriate or is there any other option you would suggest?
Thanks Linda for your reply. I have got two further questions.
1) The Semnet forum suggested W = ?(chi-squ/N) by rosenthal & rostow. My problem now is that my model uses the complex option and I don't know how MPlus calculates the "clustered" N. I thought N must be between my observed N and n-cluster. Is that correct? How is the N calculated in a complex model?
2) I also calculated the effect size using Cohens q because it is independet of N. I got two medium sized effects (.44, .42) in the same sample. One effect size is significant and the other is not. How is that possible? Thanks Sofie
1. They suggest omega = (Wald-chi-squ/N)^0.5. But they don't refer to a clustered sample. When I use the complex option in Mplus SE's and N will be corrected but I don't know how. And I guess I have to use the corrected N to calculate the effect size suggested by Rosenthal and Rostow.
2. The standard errors are approximately equal in my model.