Table 1.

Parameter estimates for the mixed effects regression model analyzing data from all listeners (Model A) and from all listeners excluding one outlier participant (Model B).

	Model A					Model B
	β	SE	df	t	p	β	SE	df	t	p
Intercept	−1.43	0.91	82	−1.56	0.607	−1.30	0.94	80	−1.38	0.085
F0 Condition	0.94	0.13	82	7.47	0.000	0.91	0.13	80	6.98	0.000
LogAge	0.08	2.62	39	0.03	0.489	−0.14	2.65	38	−0.05	0.479
Discrimination	−0.04	0.14	39	−0.30	0.383	−0.07	0.15	38	−0.47	0.322
F0 Condition x LogAge	1.17	0.36	82	3.24	0.000	1.23	0.37	80	3.38	0.000
F0 Condition x Discrim	−0.03	0.02	82	−1.74	0.042	−0.03	0.02	80	−1.23	0.110
LogAge x Discrim	−0.18	.32	39	−0.56	0.288	−0.17	0.33	38	−0.52	0.303
F0 Condition x LogAge x Discrim	−0.05	0.045	82	−1.03	0.154	−0.05	0.045	80	−1.11	0.135

β = coefficient estimate, SE = standard error, df = degrees of freedom, t = t-value, p = p-value.