I want to conduct a comparative analysis across a large amount of studies by looking at the effect sizes of their results with another variable. I am not too familiar with effect sizes so I'd appreciate some help.
All the data is non-parametric and some studies use different tests (Wilcoxon rank sum for the most part but sometimes ANOVAs or Mann-Whitney U tests). Is there a meaningful way to compare the effect sizes across all these studies? About half of the studies present the data with means and standard errors/deviations from which I can get Cohen's d, but is this applicable to non-normal data? Or can I just use the r=Z/SQRT(N) formula on all the test values? Additionally, can I compare effect sizes obtained from means + standard deviations with effect sizes obtained from test statistics?
Any help would be appreciated, clearly I'm a bit lost.