Table 5.

Experiment A and B diffusion model parameter ANOVA results.

Experiment	Effect	v				t0				a
		F(1, 15)	p	padj	${\eta }_p^2$	F(1, 15)	p	padj	${\eta }_p^2$	F(1, 15)	p	padj	${\eta }_p^2$
Exp. A	Intercept	180.18	0.000		0.92	222.96	0.000		0.94	316.88	0.000		0.96
	Mode	1.44	0.249	–	0.09	30.97	0.000	0.000***	0.67	3.47	0.082	–	0.44
	Task	18.27	0.001	0.002**	0.55	3.29	0.090	0.179	0.18	6.09	0.026	0.052	0.09
	Mode*Task	4.85	0.044	0.087	0.24	2.54	0.132	–	0.14	8.08	0.012	0.037*	0.24
		F(1, 23)	p	padj	${\eta }_p^2$	F(1, 23)	p	padj	${\eta }_p^2$	F(1, 23)	p	padj	${\eta }_p^2$
Exp. B	Intercept	254.18	0.000	0.92	535.51	0.000	0.96	190.12	0.000	0.96
	Condition	11.24	0.003	0.008**	0.33	4.84	0.038	0.114	0.17	0.00	0.978	−	0.16
	Task	9.37	0.006	0.011*	0.29	4.17	0.053	−	0.15	2.38	0.136	0.273	0.05
	Cond*Task	1.48	0.235	0.235	0.06	0.59	0.450	−	0.03	0.74	0.400	−	0.14

^*The table gives effect size and significance for Experiment A and B repeated measures ANOVAs of the drift parameters v, t₀, and a. Effects with Holm-Bonferroni adjusted p-values p_adj < 0.05 are marked,

^**with p_adj < 0.01 are marked,

^***with p_adj < 0.001 are marked.

Effect sizes are reported as partial eta squared (${\eta }_p^2$) values. v, drift rate; t₀, non-decision time; a, boundary separation.