Table 5.

Best fitting model parameters for Experiment 3.

Dual	a_s	a_a	Ter_s	Ter_a	P	t_s	sd_a			X²	aBIC
Group	0.110	0.138	286	301	0.356	65	1.824			1296.7	1831.5
Ind	0.113 (.02)	0.146 (.02)	286 (20)	306 (22)	0.343 (.08)	74 (26)	1.821 (.54)			183.2 (52)	1622.3 (245)
Spot	a_s	a_a	Ter_s	Ter_a	P	r_d	sd_a

Group	0.111	0.139	283	304	0.369	0.016	1.781			1190.4	1701.8
Ind	0.112 (.02)	0.146 (.02)	284 (.02)	301 (.02)	0.352 (.09)	0.015 (.01)	1.691 (.48)			168.5 (45)	1531.3 (221)
DSTP	a_s	a_a	Ter_s	Ter_a	c	μ_ss	μ_rs2	μ_tar	μ_fl

Group	0.116	0.136	284	303	0.116	0.866	0.379	0.050	0.249	1244.6	1821.6
Ind	0.121 (.02)	0.161 (.03)	286 (.02)	310 (.02)	0.132 (.05)	0.649 (.18)	0.500 (.17)	0.061 (.03)	0.218 (.10)	174.4 (43)	1615.7 (238)

Note. For individual fits, standard deviations across participants are shown in parenthesis. a_s = boundary separation in speed blocks; a_a = boundary separation in accuracy blocks; Ter_s = mean nondecision time in speed blocks; Ter_a = mean nondecision time in accuracy blocks; p = perceptual input; t_s = target selection time (ms); sd_a = spotlight width; 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_fl = combined drift rate for flankers; aBIC = approximate BIC.