Table 2. Characterization of the Effect of Changing Reward Magnitude in the Temporal Bisection Task using Multilevel Logistic Regression.

Δγ-estimates, standard error (S.E.), z-values and p-values for fixed effects of reward magnitude and the interaction between genotype and reward magnitude. Low Reward → High Reward indicates the shift from phase 1 to phase 2, High Reward → Low Reward indicates the shift from phase 2 to phase 3. The genotype variable is centered at zero. Δγ-estimate indicates the unit change for either the constant coefficient (γ₀) or the slope coefficient (γ₁) in log-odds units. n.s. = not significant.

Coefficient	Reward Change	Δ γ-estimate	S.E.	Z-value	p-value
Constant (γ0) (Timing Accuracy)	Low Reward→ High Reward	0.06	0.04	1.64	n.s.
	Genotype × Low → High	-0.26	0.08	-3.2	<0.01
	High Reward→ Low Reward	-0.26	0.04	-6.30	<0.001
	Genotype × High → Low	-0.07	0.08	-0.89	n.s.
Slope (γ1) (Timing Precision)	Low Reward→ High Reward	0.40	0.08	5.24	<0.001
	Genotype × Low → High	0.02	0.16	0.15	n.s.
	High Reward→ Low Reward	0.02	0.08	0.21	n.s.
	Genotype × High → Low	-0.31	0.16	-1.98	<0.05