Table 2.

Descriptive and inferential statistics for the mean amplitude differences of aware-correct trials minus unaware-correct trials

ERP condition	N	Mean (μV)	SD	95% CI	BF10
VAN
Large Gabor	24	−1.58	1.87	[−2.37, −0.79]	79
Small Gabor	15	−1.41	1.14	[−2.04, −0.77]	111
L – S Gabor	13	−0.18		[−0.86, 0.50]	0.32
L – S Gabor	39	0.18		[−0.92, 1.27]	0.33
LP
Large Gabor	24	1.35	0.92	[0.96, 1.74]	>62,000
Small Gabor	15	1.00	0.91	[0.50, 1.50]	47
L – S Gabor	13	0.18		[−0.59, 0.96]	0.31
L – S Gabor	39	−0.35		[−0.96, 0.26]	0.54

Note. Results of Bayesian t tests (two-tailed with a Cauchy prior = 0.707) of the mean amplitude difference of aware-correct trials minus unaware-correct trials. The BF₁₀ expresses the likelihood of the data given the alternative hypothesis relative to the likelihood of the data given the null hypothesis. A one-sample t test was used for each session (n = 24 or n = 15), and a paired-samples t test was used for subjects who completed both sessions (n = 13). In an independent-samples t test, subjects from each session were treated as independent observations (n = 24 + 15 = 39). The 95% CI is the confidence interval (with a flat prior)