. Author manuscript; available in PMC: 2015 Apr 1.

Published in final edited form as: J Exp Psychol Hum Percept Perform. 2014 Jan 20;40(2):870–888. doi: 10.1037/a0034954

Table 1.

Diffusion model parameters for the different experiments

Experiment	a	z	T_er	η	s_z	s_t	χ²	df
1	0.130	0.058	0.366	0.114	0.069	0.174	206.7	233
2	0.134	0.062	0.344	0.185	0.095	0.190	335.9	233
3	0.137	0.042	0.335	0.139	0.064	0.122	256.9	233
4	0.138	0.094	0.341	0.160	0.055	0.115	304.6	233
5 (50 cutoff)	0.114	0.060	0.351	0.086	0.076	0.177	188.0	193
5 (20 cutoff)	0.118	0.063	0.347	0.117	0.092	0.154	173.2	193
6	0.142	0.068	0.333	0.243	0.077	0.163	259.6	193
7	0.149	0.049	0.330	0.162	0.081	0.119	246.4	193
8	0.116	0.063	0.357	0.110	0.025	0.084	948.5	474
9	0.123	0.063	0.482	0.099	0.028	0.207	-	393
10	0.150	0.077	0.313	0.158	0.031	0.121	341.9	173
11 (short cutoff)	0.261	0.130	0.417	0.122	0.054	0.179	142.7	142
11 (long cutoff)	0.238	0.116	0.446	0.104	0.034	0.206	165.4	142

Note: The length experiment had speed and accuracy blocks of trials. Only boundary separation (and starting point) differed in fitting the speed and accuracy blocks of trials. Boundary separation for the speed blocks was 0.082. a=boundary separation, z=starting point, T_er=nondecision component of response time, η =standard deviation in drift across trials, s_z=range of the distribution of starting point (z), s_t = range of the distribution of nondecision times, and χ² is the chi-square goodness of fit measure