The "Standard Error error," which confuses SE and SD in computing effect sizes, is not uncommon, unfortunately. I've noticed those when re-analyzing some meta-analyses. It's actually easy for a meta-analyst to avoid such errors-- when an ES looks a bit too big to be true, re-examine your analysis.
add a skeleton here at some point
6 months ago