Sorry if I use the wrong terms here, I am still learning how to do this.
I am conducting an meta-analysis comparing two treatment types, using Cohen's d. I have completed the primary analyses of the two groups. So I know the overall effects, I know which ones need random-models instead of fixed. I know the q-, z-, and c-statistics as well for each group.
Now however, I want to look at how a particular component of treatment influenced the overall mean effect size for each group. In particular, I want to see if treatments that used exposure techniques influenced the overall mean effect size for each group.
How do I do this?
Do I conduct another 'meta-analysis' on the subgroups and compare the overall mean effect size and z-score to the other sub-group (i.e., treatment group 1 with exposure versus treatment group 1 without exposure), do I compare the sub-group to the overall treatment group (i.e., treatment group 1 with exposure versus all of treatment group 1), or do I use some other statistical test?
EDIT Or do I compute an over all q statistic comparing each group? And if so what do I do when one group according to its q-stat is random-model and another is a fixed-effects?