Table 1.

Statistics for the paired t test and Bayes factor comparisons

		Single vs. dual 2nd target (traditional)	Single vs. dual total	Dual 2nd target (traditional) vs. E.V. under H0 (RT method)	Dual 2nd target (traditional) vs. E.V. under H0 (obs. reversal rate)
T Targets	Exp. 1 df = 25	t = 4.44, p <.001 Bayes = .006	t = .85, p = .40 Bayes = 4.68	t = .18, p = .86; Bayes = 6.51	t = .44, p =.66; Bayes = 6.02
	Exp. 2 df = 32	t = 3.20, p =.003 Bayes = .098	t = .88, p =.39 Bayes = 5.11	t = .72, p = .48; Bayes = 5.78	t = .12, p = .90, Bayes = 7.35
O Targets	Exp. 1 df = 25	t = 2.60, p = .015 Bayes = .361	t = .75, p = .46 Bayes 5.06	t = .50, p =.63; Bayes = 5.88	t = .07, p =.95; Bayes = 6.61
	Exp. 2 df = 32	t = 2.84, p = .008 Bayes = .221	t = 0, p = 1 Bayes 7.41	t = .34, p =.74; Bayes = 7.00	t = 1.02, p = .32; Bayes = 4.50

Note. Bayes factors are expressed as the ratio of H0 to H1, such that a Bayes factor of 7 indicates that the null hypothesis is 7 times more likely than the alternative hypothesis. E.V. stands for the expected value as calculated using our formulae.