Table 1.

Results of the Bayesian linear mixed-effect models of log RT data

Parameter	Beta	SE	CI lower	CI upper	P
Intercept	0.17	0.07	0.04	0.30	0.009
Congruence	0.45	0.03	0.38	0.52	<0.0001
Modality	0.04	0.02	0.00	0.08	0.041
Congruence × modality	0.06	0.03	0.00	0.11	0.041
Congruent: modality	0.01	0.03	−0.04	0.06	0.571
Incongruent: modality	0.07	0.03	0.02	0.12	0.009
Category	0.02	0.02	−0.02	0.05	0.383
Sex	0.14	0.13	−0.11	0.40	0.280
Trial	−0.35	0.03	−0.42	−0.28	<0.0001
Delay	0.02	0.01	−0.01	0.04	0.229
Similarity	0.01	0.02	−0.03	0.05	0.516

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.