Fig. 1.

RoBMA_PSMA model-averaged posterior mean effect size estimates with 95% credible intervals and Bayes factors for the absence of the effect for the combined sample or split by either the domain or intervention category (ignoring the clustering of SEs). BF₀₁ quantifies evidence for the null hypothesis. BF₀₁ larger than one corresponds to evidence in favor of the null hypothesis, and BF₀₁ lower than one corresponds to evidence in favor of the alternative hypothesis (evidence for the alternative hypothesis can be obtained by reciprocating the Bayes factor; BF₁₀ = 1/BF₀₁). As a rule of thumb, Bayes factors between 3 and 10 indicate moderate evidence, and Bayes factors larger than 10 indicate strong evidence.