Overview of Meta-Analysis, Part 2 (of 7): Sampling Error

In Part 1 of this seven-part overview of meta-analysis, I introduced Conn, Hafdahl, Cooper, Brown, and Lusk’s (2009) quantitative review of workplace exercise interventions and discussed extracting effect-size (ES) estimates.  Building on that material, in this second part I’ll address obtaining info about an ES’s sampling error, which plays a critical role in most modern meta-analytic methods.  (Part 1 of this overview lists topics in the subsequent five posts.)
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Overview of Meta-Analysis, Part 1 (of 7): Effect Sizes

This post is the first in a seven-part overview of common meta-analytic tasks.  In this first part I’ll introduce a real-world substantive application of meta-analysis and address estimating effect sizes (ESs).  Subsequent parts will focus on the following topics:

  • Part 2: obtaining information about ES sampling error
  • Part 3: collecting features of ESs
  • Part 4: exploring data
  • Part 5: fitting meta-analytic models to ESs (subparts 5a, 5b, and 5c)
  • Part 6: checking for potential problems
  • Part 7: expressing results informatively

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