Table 2.

Parameter Estimates and p-values for the full mixed-effects regression

	Estimate	t	SE	p
(Intercept)	4.6272	0.3583	12.9161	0.0001***
Day	−2.7471	0.4432	6.1990	0.0001***
Noise	3.6042	0.2164	16.6573	0.0001***
Trained Difficulty	−0.1114	0.6809	0.1636	0.8592
Trained Noise Level	−0.3302	0.7165	0.4609	0.6178
Noise^2	1.6766	0.1294	12.9578	0.0001***
Day x Noise	−1.5296	0.2011	7.6070	0.0001***
Day x Trained Difficulty	0.7973	0.5687	1.4019	0.1686
Day x Trained Noise Level	1.3930	0.8863	1.5716	0.1188
Noise x Trained Noise Level	−0.8937	0.4327	−2.0651	0.0366
Day x Noise^2	−0.1709	0.1699	1.0059	0.3142
Trained Noise Level x Noise^2	−0.2952	0.2588	1.1409	0.2604
Day x Noise x Trained Noise Level	−1.2096	0.4022	3.0079	0.0024**
Day x Trained Difficulty x Trained Noise Level	−2.5281	1.1375	2.2226	0.0294*
Day x Trained Noise Level x Noise^2	−1.0651	0.3399	3.1338	0.0024**

Note:

^*p < .05

^**p < .01

^***p < .001; p-values are based on MCMC estimates