I am confused that whether the variance used in the formula from Borenstein's method is the square of standard deviation or standard error of the mean? Could you help me? I thought it should be SD. However, at page 230 from the book (introduction to Meta-analysis) mentioned that "variance is 0.0036 and standard error is 0.06". Besides, can the formula be used to synthesize the multiple outcomes in each comparison group of the two comparison groups in each study?
Just to save this from going unanswered.
The formula gives the sampling variance of the mean which can be seen either from the formula itself (it is the variance of the sum of $m$ values of $Y$ divided by $m$) or from the fact that the value given, 0.0036, is the square of 0.06.