TABLE 6.

Summary table of the mixed models used to estimate the SCE conditions.

Model: lmer(log(RT) ∼ Previous.trial + (1| Subject) + (1| Items), data = data.current.C/data.current.I/data.current.N, REML = FALSE)
Current item	Comparisons	RT(SD)	df	β	SE	t	p
Congruent	CC – IC	−49.5(−4.8)	6587.59	0.07	0.01	13.77	p < 0.001∗
	CC – NC	−27.7(−3.9)	6495.89	0.03	<0.01	6.8	p < 0.001∗
	NC – IC	−23.7(−0.9)	6595.42	–0.04	0.01	–7.64	p < 0.001∗
Incongruent	II – NI	10(6.4)	5438.21	–0.01	0.01	–3.12	p < 0.001∗
	II – CI	0.6(6.1)	4784.87	<0.01	<0.01	0.32	p = 0.75
	NI – CI	−9.4(−0.3)	5364.33	–0.01	<0.01	–2.33	p = 0.02
Neutral	NN – CN	−10.2(−3)	6535.87	–0.01	<0.01	–3.27	p = 0.002∗
	NN – IN	−20.4(−2)	6529.69	–0.03	<0.01	–7.79	p < 0.001∗
	CN – IN	−10.2(1)	6551.47	0.02	<0.01	4.98	p < 0.001∗

Seven models were necessary to estimate all the comparisons. After Bonferroni correction, ^∗the significance threshold was reduced to 0.008.