Table 6.

Model-averaged effect size estimates for four prior model probabilities settings

				95% Credible Interval
$p(\mathcal{H})$ Favors		Mean	SD	Lower	Upper	BF10
None	μ	0.575	0.067	0.438	0.700	83574.393
Null	μ	0.575	0.066	0.442	0.702	83574.393
Random	μ	0.574	0.068	0.437	0.705	61038.702
Fixed	μ	0.577	0.063	0.452	0.700	128645.776

Note. μ is the group-level effect size. Posterior estimates are based on the models that assume an effect to be present. The Bayes factor is based on all four models: fixed- and random-effects ${\mathcal{H}}_1$ over the fixed- and random-effects ${\mathcal{H}}_0$. The results of our main analysis are highlighted in bold