Table 1.

Model output for the learning phase of Experiment 1 (Explicit)

Predictor	Estimate	SE	z	p	Odds ratio
Intercept	− 0.36	0.10	− 3.75	< .001	0.70
Pitch d’	− 0.05	0.08	− 0.64	.521	0.95
Tempo d’	0.03	0.07	0.48	.633	1.03
AQ	0.00	0.01	− 0.41	.685	1.00
Block	− 0.65	0.12	− 5.66	< .001	0.52
Type	0.18	0.08	2.22	.027	1.20
AQ × Block	0.00	0.01	0.47	.638	1.00
AQ × Type	− 0.01	0.01	− 1.15	.249	0.99
Block × Type	− 0.10	0.12	− 0.80	.427	0.91
AQ × Block × Type	0.01	0.01	0.62	.533	1.01

Final model: Correct ~ Pitch d’ + Tempo d’ + AQ*Block*Type + (1 + Block + Type|Participant) + (1|Item)