Table 1:

Mean SCDM model parameters for the three experiments.

Experiment	T_er	s_t	a	s_a	v_h	r	G²	df	χ2(crit)
1: Number-line	218.3	43.5	12.2	5.1	14.4	5.83	326	108	133
2: Dots-arc	173.5	39.0	9.9	4.5	13.8	1.40	479	154	184
3: Spoken-dots	614.2	532.6	18.1	2.6	15.6	1.72	315	137	165
	s₅	s₁₅	s₂₅	s₃₅	s₄₅	s₅₅	s₆₅	s₇₅	s₈₅	s₉₅
1: Number-line	11.9	11.9	10.5	11.1	10.9	10.4	10.6	10.2	10.7	9.9
2: Dots-arc		15.3	15.5	17.8	22.5	17.5	15.5	15.9	15.1
3: Spoken-dots		17.7	16.9	18.6	18.3	18.3	18.1	16.2	14.1
	v₅	v₁₅	v₂₅	v₃₅	v₄₅	v₅₅	v₆₅	v₇₅	v₈₅	v₉₅
1: Number-line	10.6	15.9	22.8	29.8	42.5	55.3	65.7	74.9	81.1	89.5
2: Dots-arc		19.8	29.1	38.6	52.6	63.8	71.8	77.6	82.5
3: Spoken-dots		19.2	33.2	42.7	52.6	61.7	69.5	75.3	82.2

T_er is nondecision time, s_t is the range in nondecision time, a is the boundary setting, s_a is the range in the boundary setting, r is the Gaussian process kernel parameter, v_h multiplies the density for each the drift rate distribution, the v values are the means of the drift rate distributions, the s values are the SDs of the drift rate distributions, the and G² is the multinomial maximum likelihood statistic.