Table 1.

Parameters of the final logistic regression model of response choices in Experiment 1 with random effects for (a) participants and (b) items. The random effects structure of each model is specified in the model formula.

(a)	β	SE	z	p
Intercept	0.16	0.26	0.58	n.s.
Condition = deaccented	0.55	0.25	2.22	<0.05
Same-attribute lexical bias rating	1.26	0.16	7.92	<0.0001
Relative noun frequency	0.41	0.13	3.02	<0.005
Squared trial number	0.71	0.16	4.32	<0.0001

(b)	β	SE	z	p
Intercept	0.46	0.21	2.22	<0.05
Condition = deaccented	1.05	0.41	2.60	<0.01
Same-attribute lexical bias rating	1.02	0.16	6.55	<0.0001
Squared trial number	0.35	0.16	2.22	<0.05

Formula: lmer(response ~ condition + rating + frequency + trialnumber2 + (1 + condition + rating + frequency + trialnumber2 + condition:rating + condition:trialnumber2 + rating:trialnumber2 + condition:frequency | subj), family=binomial, data=data)

Formula: lmer(response ~ condition + rating + trialnumber2 + (1 + condition + trialnumber2 + condition:trialnumber2 | item), family=binomial, data=data)