Table 10.

Mixed logit regression predicting proportion of /∫/ responses from Label, Condition, and their interaction (Experiment 3b). Coding: Label (sum coded: ∫-Label = 1 vs. S-Label = −1), Context (Sober = 1 vs. Intoxicated = −1), Trial Bin (First bin = 0). Rows that are critical to our analysis are highlighted in grey.

Predictors	Parameter Estimates		Significance Test
	Coef ($\widehat{\beta }$)	Std Err	z	p
(Intercept)	−0.35	0.11	−3.09	<0.001
Label (∫ vs. S)	0.58	0.11	5.13	<0.001
Context (Sober vs. Intoxicated)	0.03	0.11	0.25	0.8
TrialBin (First bin = 0)	0.02	0.02	0.93	0.35
Label:Context	0.09	0.11	0.77	0.44
Label:TrialBin	−0.08	0.02	−3.81	<0.001
Context:TrialBin	0.01	0.02	0.32	0.75
Label:Context:TrialBin	−0.02	0.02	−0.88	0.38