I would like to ask a question regarding the output of the rma.mv function.
I had raw correlations which I transformed into Fisher's Z correlations using the 'escalc' function. Then, I performed a multilevel meta-regression with the 'rma.mv' function.
Now I would like to ask: is the "estimate" output that I get (i.e., the summary effect) given in terms of the raw correlation or the fisher Z transformation? I believe that since I entered the fisher-Z correlations, I should get the output in Fisher Z as well, but I would nevertheless like to verify it.
I attach the code and the output for convenience.
Thank you all for your help
D <- escalc(measure="ZCOR", ri=r, ni=N, data=D, vtype="AV")
metRes1 <- rma.mv(yi=yi, V=vi, random = ~ factor(id) | Paper_num, data=D)
estimate se zval pval ci.lb ci.ub 0.3813 0.0671 5.6818 <.0001 0.2497 0.5128 ***