Table 1.

Experiment 1 best fitting model parameters.

Subject		Ter	st	as		σ	sb	χ2
1		389	358	0.021		0.13	1.47	196
2		363	178	0.047		0.11	0.90	256
3		292	162	0.067		0.12	1.04	250
4		476	383	0.040		0.15	0.71	294
5		535	357	0.049		0.17	1.39	273
		b1	b2	b3		b4	b5	b6
1		1.81	1.57	1.76		1.32	1.17	1.42
2		2.30	2.03	2.46		2.19	1.76	1.37
3		1.68	1.71	2.48		2.40	1.65	1.52
4		2.80	2.91	2.72		2.10	2.36	2.01
5		3.00	2.49	2.27		2.67	2.27	2.26
		c1	c2		c3	c4		c5
1		−0.81	0.00		0.87	2.04		3.23
2		−1.20	−0.04		0.76	1.46		2.51
3		−0.84	0.08		0.95	1.96		2.81
4		−0.69	0.00		1.15	1.73		2.18
5		−0.90	−0.25		0.85	1.93		3.00
	μrH	μrL	μiH	μiL	srH	srL	siH	siL
1	0.00	0.87	0.42	2.49	0.61	0.63	0.65	0.53
2	0.00	−0.07	1.18	1.71	0.31	0.52	0.57	0.48
3	0.00	−0.15	1.82	2.14	0.40	0.41	0.63	0.61
4	0.00	−0.44	1.29	1.73	0.53	0.69	0.66	0.61
5	0.00	0.68	1.28	1.82	0.57	0.74	0.86	0.63

T_er is the mean nondecision time, s_t is the range in nondecision time, σ is the SD in within trial variability, a_s is the scaling factor that multiplies drift rate, s_b is the range in variability in the decision boundaries, b₁–b₆ are the decision boundaries, c₁–c₅ are the confidence criteria, the μ values are the mean values of the drift rate distributions for each experimental condition, and the s values are the between-trial variability values for each experimental condition (r represents rearranged items, i represents intact items, H represents high-frequency items, and L represents low frequency items).