Table 1. Test of Excess Significance.

Set of studies	Proportion of significant results	Mean observed power	Mean power to detect RE estimate	Mean power to detect FE estimate
Note. Proportion of significant results in each data set and three measures of average power: (a) mean power to detect the effect size reported in each individual study, (b) mean power to detect an effect of the meta-analytic size estimated with a random-effects (RE) model, and (c) mean power to detect an effect of the meta-analytic size estimated with a fixed-effect (FE) model. The p values refer to the significance of one-tailed binomial tests contrasting the probability of the observed proportion of significant results given the three estimates of average power.
† p < .10. * p < .05.
Vohs et al. (2006); Caruso et al. (2013)	.86	.68, p = .122	.55, p = .017*	.55, p = .017*
Klein et al. (2014); Rohrer et al. (2015)	.02	.14, p = .998	.05, p = .884	.05, p = .884
Table 1 in Vohs (2015)	.85	.70, p = .103	.67, p = .060†	.65, p = .043*
Table 2 in Vohs (2015)	.79	.65, p = .096†	.84, p = .820	.77, p = .526