Table 2.

Parameter values and correlations between boundary separation (a) and simulated data

Parameter values						Correlations with boundary separation
Across subject			Within subject
sa	sv	sTer	η	sz	st	Acc.	$\overline{\text{RT}}$	Q 0.1	Q 0.3	Q 0.5	Q 0.7	Q 0.9
0.01	0.0	0.0	0.001	0.001	0.001	0.481	0.850	0.844	0.863	0.848	0.796	0.703
0.02	0.1	0.05	0.001	0.001	0.001	0.505	0.531	0.315	0.423	0.509	0.562	0.627
0.02	0.1	0.05	0.08	0.02	0.1	0.429	0.576	0.439	0.495	0.542	0.594	0.633
0.02	0.1	0.05	0.20	0.06	0.1	0.478	0.501	0.251	0.309	0.394	0.495	0.624
0.04	0.1	0.10	0.08	0.02	0.1	0.701	0.563	0.387	0.449	0.509	0.577	0.677
0.04	0.1	0.10	0.20	0.06	0.1	0.696	0.495	0.245	0.315	0.393	0.495	0.665

Note: Mean values of parameters fixed for every row of the table are: a=0.10, T_er =0.4, v =0.4. The parameters of the model are a =boundary separation, z=a/2=starting point, T_er =mean value of the nondecision components of response time, η=SD in drift across trials, s_z =range of the distribution of starting point (z) across trials, v=drift rate, and s_t =range of the distribution of nondecision times across trials. Variability in parameters across subjects: s_v variability in drift rate, s_a variability in boundary separation, and s_Ter variability in the mean value of the nondecision components of processing. Acc=accuracy, $\overline{\text{RT}}$=mean RT, and Q 0.1–Q 0.9 are the 0.1–0.9 quantile RTs.