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[R-meta] Converting smd to r-coefficients

Dear Tarun,

For the first set of studies: How did you actually calculate a correlation coefficient? Did the authors that conducted these regression analyses also report correlation coefficients or did you use some kind of conversion equation? If so, which? Also, are the two variables for which you computed a correlation coefficient continuous variables or was one of the two actually a dichotomous variable that corresponds to the grouping variable based on which the SMD values for the second set of studies were computed?

And how did you transform the standardized mean differences into correlations? The usual equation that one can find in textbooks for this purpose yields a point-biserial correlation coefficient. That is not comparable to a correlation coefficient based on two continuous variables. If one can reasonably assume that the variable that creates the two groups is actually a dichotomized version of some latent continuous variable, then one can convert a SMD value also into a biserial correlation coefficient. The latter will be larger, which might explain why you find that negative coefficient in your meta-regression model.

The following article discusses the transformation of SMD values to biserial correlations:

Jacobs, P., & Viechtbauer, W. (2017). Estimation of the biserial correlation and its sampling variance for use in meta-analysis. Research Synthesis Methods, 8(2), 161-180.

Best,
Wolfgang