Table 2.

Overall effects in the meta-analytic models

Model (1)	$\overline{g}$.RVE (SE) (2)	Adj.$\overline{g}$ (range) (3)	Heterogeneity (4)	Residual heterogeneity (5)	Bayes factors (6)
Main analyses
Overall	0.184 (0.041)	–	τ2 = 0.041, I2 = 43.16	τ2 = 0.038, I2 = 34.87	–
Non-active	0.228 (0.045)	0.119 – 0.228	τ2 = 0.042, I2 = 43.11	–	BFg > 7.3×105, BFτ > 5×103
Active	0.056 (0.058)	-0.020 – 0.056	τ2 = 0.025, I2 = 23.10	–	BFg = 1.231, BFτ = 0.044
Sensitivity analyses
Overall	0.166 (0.041)	–	τ2 = 0.036, I2 = 40.62	τ2 = 0.029, I2 = 29.70	–
Non-active	0.226 (0.045)	–	τ2 = 0.041, I2 = 42.96	τ2 = 0.005, I2 = 7.606	–
Non-random	0.246 (0.049)	0.126 – 0.211	–	–	BFg = 217.840, BFτ = 0.021
Random	0.064 (0.065)	-0.034 – 0.009	–	–	BFg = 0.257, BFτ = 0.025
Active	-0.021 (0.032)	–	τ2 = 0.000, I2 = 0.000	–	BFg = 0.063, BFτ = 0.006

Note. (1) The meta-analytic model; (2) the overall RVE effect size (Standard Error); (3) the range of the publication bias adjusted estimates; (4) the amount of true heterogeneity of the model; (5) the true heterogeneity after running meta-regression (and sensitivity analysis); (6) Bayes factors comparing the alternative hypotheses (H1: $\overline{g}$ ≠ 0; H1: τ > 0) with the null hypotheses (H0: $\overline{g}$ = 0; H0: τ = 0)