Inconventional meta-analysis (Wolf, 1986; Hunter and Schmidt, 1990), different tests of main
effects, sometimes using strikingly different criterion measures, need to be standardized
before estimation of mean effect across the studies.
With different criterion measures with
varying degrees of internal consistency, conventional meta-analysis runs the risk of
estimation error.