Table 5. Means and logarithmic Bayes Factors in parenthesis of the regression weight β1, indicating the influence of the stimuli’s discriminability d’.

	Exp1Imag			Exp1NoImag			Exp2Imag			Exp2NoImag
	μ	95%HDI	log(BF)	μ	95%HDI	log(BF)	μ	95%HDI	log(BF)	μ	95%HDI	log(BF)
β1D1	0.15	[0.00, 0.31]	−0.54	0.28	[0.13, 0.44]	3.26	0.70	[0.24, 1.20]	3.14	0.54	[0.07, 1.01]	1.11
β1D2	0.23	[0.08, 0.38]	2.13	0.15	[−0.01, 0.32]	−0.77	0.94	[0.39, 1.55]	5.88	0.35	[−0.16, 0.89]	−0.46
β1d1	0.07	[−0.13, 0.27]	−2.03	0.06	[−0.17, 0.27]	−2.07	0.22	[−0.54, 1.03]	−0.80	0.46	[−0.41, 1.28]	−0.24
β1d2	0.27	[−0.24, 0.85]	−0.87	0.36	[−0.07, 0.87]	−0.20	−0.71	[−2.35, 0.87]	0.13	0.09	[−1.54, 1.66]	−0.22
β1a	−0.02	[−0.14, 0.09]	−2.75	−0.01	[−0.16, 0.14]	−2.59	0.33	[−0.07, 0.74]	−0.21	0.12	[−0.43, 0.66]	−1.19
β1b	−0.28	[−0.40, −0.15]	5.57	−0.30	[−0.42, −0.19]	7.41	−1.06	[−1.41, −0.79]	12.64	−0.96	[−1.33, −0.59]	8.08