A Primer on Bayesian Model-Averaged Meta-Analysis

Meta-analysis is the predominant approach for quantitatively synthesizing a set of studies. If studies themselves are high quality, meta-analysis can provide valuable insights into current scientific state knowledge about particular phenomenon. In psychological science, most common to conduct frequentist meta-analysis. this primer, we discuss an alternative method, Bayesian model-averaged This procedure combines results four models: (a) fixed-effect null hypothesis, (b) (c) random-effects and (d) hypothesis. These models combined according their plausibilities given observed data address two key questions “Is overall effect nonzero?” there between-study variability in size?” therefore avoids need select either or model instead takes account uncertainty principled manner.