Hello Everyone,
I'm meta-analyzing the correlation (Pearson r) between extroversion (ext)
and achievement in math, reading, and arts.
My data looks like what is shown below. I wonder whether "rcalc()" is a
suitable option for building a var-covariance matrix for Pearson r
coefficients in each study OR "vcalc()" is a more suitable option?
ps. It seems "rcalc()" requires var1 and var2 in each row to be distinct in
each study which makes me think "rcalc()" may not be suitable for cases
where there are multiple time points or samples etc.
study ri var1 var2 scale outcome ni sample_id
1 .1 ext math epq math 50 1
1 .2 ext math epq read 50 1
1 .3 ext art epq art 50 1
2 .4 ext math pf math 35 1
3 .5 ext read pf read 80 1
3 .6 ext math pf math 64 2
Thank you for your time in advance.
Sincerely,
Yuhang Hu
Ph.D. Student
Northern Arizona University