Table 3.

Bounded models: nested model hierarchical analysis

	NLL		LLR
	${\mathcal{B}}_b$	${\mathcal{B}}_{+1}=\left\{{\mathcal{B}}_b,\eta \right\}$	$\frac{{\mathcal{B}}_{+1}}{{\mathcal{B}}_b}$	$\frac{{\mathcal{B}}_{+2}=\left\{{\mathcal{B}}_{+1},\mu \right\}}{{\mathcal{B}}_{+1}}$	$\frac{{\mathcal{B}}_{+2}=\left\{{\mathcal{B}}_{+1},z_0\right\}}{{\mathcal{B}}_{+1}}$	$\frac{{\mathcal{B}}_{+2}=\left\{{\mathcal{B}}_{+1},z\right\}}{{\mathcal{B}}_{+1}}$	Resulting Model Parameters
pDDM ${\mathcal{B}}_b=\hspace{0.17em}\left\{a,\hspace{0.17em}\sigma \right\}$	340 [251, 434]7	295** [291, 379]11	0.00 [−0.00, 0.05]6	0.02 [−1.7, 0.06]11	—§§	0.00 [−0.01, 0.00]11	$\mathcal{B}=\left\{a,\hspace{0.17em}\sigma ,\eta \right\}$
cbDDM ${\mathcal{B}}_b=\left\{a,{\tau }_a,\hspace{0.17em}\sigma \right\}$	340 [251, 434]7	295** [291, 379]11	0.00 [−0.00, 0.05]6	0.02 [−1.7, 0.06]11	—§§	0.00 [−0.01, 0.00]11	$\mathcal{B}\hspace{0.17em}=\hspace{0.17em}\left\{a,{\tau }_a,\sigma ,\eta \right\}$
usDDM ${\mathcal{B}}_b=\left\{a,\hspace{0.17em}\sigma ,{\lambda }_{\infty },\hspace{0.17em}{\tau }_{\lambda }\right\}$	317 [292, 417]8	295** [291, 379]11	0.07 [0.06, 0.37]7	0.4 [−0.04, 1.5]11	—§§	0.00 [−0.00, 0.00]11	$\mathcal{B}\hspace{0.17em}=\hspace{0.17em}\left\{a,\sigma ,\eta ,{\lambda }_{\infty },{\tau }_{\lambda }\right\}$
hpfDDM§ ${\mathcal{B}}_b=\left\{a,\sigma ,\tau \right\}$	295** [289, 380]11			0.2 [−1.3, 1.5]8	—§§	0.00 [−0.00, 0.00]11	$\mathcal{B}\hspace{0.17em}=\hspace{0.17em}\left\{a,\sigma ,\tau \right\}$

Values are medians [quartiles]. Subscripts to right of quartiles indicate the number of subjects that yielded converging model fits.

^**(Bold) Best median NLL with highest model fit convergence rate.

^§For hpfDDM, threshold expression Eq. 15 is undefined when τ = 0.

^§§Model fits did not converge for more than half of the subjects.