Table 1. Overview of Planned Comparisons to Explore the Effect of the Previous Gamble on the Start RT of the Gambling Task in Experiments 1–5.

Experiment	diff	Lower CI	Upper CI	t	p	gav	BF
Note. RT = reaction time; diff = difference; CI = confidence interval; gav = Hedge’s average g; BF = Bayes factor, which is an odds ratio: It is the probability of the data under one hypothesis relative to that under another. Evidence categories for Bayes Factor: BF < .33 = substantial evidence for Hypothesis (H)0; 1/3–1 = anecdotal evidence for H0; 1 = no evidence; 1–3 = anecdotal evidence for HA; 3–10 = substantial evidence for HA; BF > 10 = strong to decisive evidence for HA. H0 = no difference between the trial types; HA = a difference between the trial types. We calculated the Bayes factors with the BayesFactor package in R, using the default prior (.707). Experiment 1, df = 19; Experiments 2–5, df = 39.
Experiment 1
Nongamble vs. gambled loss	184	141	227	8.905	<.001	1.057	4.15 × 105
Nongamble vs. gambled win	96	48	145	4.181	.001	.482	66.17
Gambled loss vs. gambled win	−87	−132	−42	−4.080	.001	.498	54.10
Experiment 2
Nongamble vs. gambled loss	67	42	92	5.376	<.001	.482	4,913
Nongamble vs. gambled win	28	−1	57	1.936	.060	.184	.92
Gambled loss vs. gambled win	−39	−68	−9	−2.662	.011	.265	3.69
Experiment 3
Nongamble vs. gambled loss	160	121	199	8.321	<.001	.895	3.04 × 107
Nongamble vs. gambled win	49	1	97	2.080	.044	.231	1.18
Gambled loss vs. gambled win	−111	−170	−52	−3.819	<.001	.529	60.15
Experiment 4
Nongamble vs. gambled loss	48	26	69	4.453	<.001	.306	340.50
Nongamble vs. gambled win	−33	−56	−10	−2.952	.005	.205	7.02
Gambled loss vs. gambled win	−81	−111	−51	−5.517	<.001	.522	7,459
Experiment 5
Nongamble vs. gambled loss	28	−7	62	1.616	.114	.112	.56
Nongamble vs. gambled win	12	−14	37	.938	.354	.048	.26
Gambled loss vs. gambled win	−16	−50	19	−.930	.358	.065	.26