Sneak Preview: Degraded Effect Sizes and Tricky Conditional Variances

My post on data exploration more than half completed my seven-part overview of meta-analysis.  As a diversion while I write Part 5, let’s consider two of several methodological issues I plan to discuss in this blog: degraded effect sizes (ESs) and tricky conditional variances (CVs).  My main aim here is to pique your interest in future posts by offering a glimpse at ways to manage selected challenges that routine meta-analytic techniques don’t address.  These “teaser” descriptions will be quite superficial.  I plan to elaborate on each of these challenges—as well as many others—after laying a foundation in my seven-part overview.
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