Table 3.

Congruence and modality effects in the Bayesian linear mixed effect models of mean ERP amplitudes in the P300 and PSW time windows

ERP effect	Parameter	Beta	SE	CI lower	CI upper	P
P300	Congruence	0.71	0.15	0.40	1.01	0.001
	Modality	0.14	0.18	−0.20	0.50	0.433
	Congruence × modality	0.13	0.23	−0.31	0.56	0.605
PSW1	Congruence	0.66	0.17	0.31	1.00	<0.0001
	Modality	0.14	0.22	−0.29	0.58	0.549
	Congruence × modality	0.22	0.29	−0.34	0.78	0.458
	Congruent: modality	−0.01	0.27	−0.54	0.53	0.949
	Incongruent: modality	0.30	0.26	−0.21	0.80	0.262
PSW2	Congruence	0.54	0.20	0.15	0.93	0.014
	Modality	0.26	0.22	−0.17	0.69	0.245
	Congruence × modality	0.55	0.27	0.03	1.07	0.039
	Congruent: modality	−0.06	0.26	−0.59	0.45	0.809
	Incongruent: modality	0.57	0.27	0.05	1.08	0.033
PSW3	Congruence	0.28	0.19	−0.10	0.63	0.137
	Modality	0.22	0.23	−0.23	0.66	0.338
	Congruence × modality	0.77	0.30	0.17	1.35	0.012
	Congruent: modality	−0.19	0.27	−0.71	0.33	0.480
	Incongruent: modality	0.60	0.27	0.07	1.13	0.032

P values are the percentage of parameter samples being zero or taking on values in the opposite direction of the mean parameter estimate, out of a 4000-sample parameter posterior distribution.