Table 6.

Best fitting model parameters for Experiment 4.

Dual	a	Ter	P	t_s	sd_a1	sd_a2	sd_a3			X²	aBIC
Group	0.123	304	0.348	64	2.591	1.594	1.056			958.0	1634.5
Ind	0.120 (.02)	300 (21)	0.386 (.08)	68 (19)	2.331 (.47)	1.642 (.56)	1.297 (.46)			206.9 (86)	1389.4 (201)
Spot	a	Ter	P	r_d	sd_a1	sd_a2	sd_a3

Group	0.124	308	0.351	0.018	1.764	1.543	1.416			852.6	1512.4
Ind	0.120 (.02)	300 (23)	0.371 (.09)	0.017 (.01)	1.832 (.35)	1.657 (.33)	1.492 (.29)			155.2 (96)	1284.5 (188)
DSTP	a	Ter	c	μ_ss	μ_rs2	μ_tar	μ_fl1	μ_fl2	μ_fl3

Group	0.123	309	0.181	1.073	0.369	0.135	0.261	0.230	0.177	937.6	1641.5
Ind	0.129 (.02)	294 (25)	0.075 (.02)	0.477 (.12)	0.417 (.10)	0.092 (.04)	0.266 (.12)	0.243 (.09)	0.210 (.06)	213.1 (85)	1411.9 (217)

Note. For individual fits, standard deviations across participants are shown in parenthesis. a = boundary separation; Ter = mean nondecision time (ms); p = perceptual input; t_s = target selection time (ms); sd_a1 = spotlightwidth for blocks with 66% congruent trials; sd_a2 = spotlightwidth for blocks with 50% congruent trials; sd_a3 = spotlightwidth for blocks with 33% congruent trials; r_d = rate of decrease in spotlight; c = stimulus selection boundary separation; μ_ss = drift rate for stimulus selection; μ_rs2 = drift rate for response selection phase 2; μ_tar = drift rate from target; μ_fl1 = combined drift rate for flankers for blocks with 66% congruent trials; μ_fl2 = combined drift rate for flankers for blocks with 50% congruent trials; μ_fl3 = combined drift rate for flankers for blocks with 33% congruent trials.