Meta-Analysis Resources

Tools for Those Who Summarize the Evidence Base

Resources and networking for those who conduct or interpret meta-analyses related to any phenomenon that is gauged in multiple studies.

Dear all,


in order to synthesize results from a set of multiple regression analyses from 6 separate cross-sectional samples, I would like to use the standardized regression slopes or beta coefficients ( standardized slope = unstandardized slope *sd_x/sd_y) for a (fixed or random-effects) meta-analysis. All analyses use the same set of covariates. I am not sure whether it would be adequate


  1. to use the squared standard errors of the unstandardized regression slopes as variances for weighting the standardized regression slopes in the meta-analysis or whether one would need


  1. the standard errors of the standardized regression slopes (as they are available e.g. in Mplus or Lavaan)?


A related question is whether it would be better to use other effect sizes than standardized regression slopes – what do you think?



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