TABLE 3.

Results table containing the R commands of the mixed models analyses generating all the post hoc comparisons.

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	df	β	SE	t	p
Congruent	CC – IC	1530.98	0.06	0.01	6.2	p < 0.001∗
	CC – NC	1522.04	0.04	0.01	4.2	p < 0.001∗
	NC – IC	1531.17	−0.02	0.01	−2.43	p = 0.015
Incongruent	II – NI	1531.16	−0.02	0.01	−2.42	p = 0.015
	II – CI	1165.98	0.17	0.01	1.86	p = 0.062
	NI – CI	1266.03	0.01	0.01	0.69	p = 0.492
Neutral	NN – CN	1500.81	−0.03	0.01	−3.37	p < 0.001∗
	NN – IN	1494.48	−0.03	0.01	−3.99	p < 0.001∗
	CN – IN	1512.85	0.01	0.01	0.7	p = 0.474

To obtain these values, six models were mandatory, implying that, according to Bonferroni correction method, ^∗the significance threshold is reduced to 0.008.