Table 1.

Coefficient Estimates from a Generalized Linear Mixed Model (with a Logit Link) Predicting Children’s Production or Choice of ‘Correct’ Classifiers

Child production vs. Child 2AFC task
M1 and 2.kids <− glmer(accuracy ∼ Type*Experiment + (1 |Subject) + (1 |Item), data = Exp1 and 2.kids, family = binomial)
	Estimate	SE	z	p(|z|)
Intercept	0.3058	0.1525	2.005	0.0449*
Trial type (Familiar)	−0.6563	0.1884	−3.483	0.0005***
Group1 (2AFC)	−0.0586	0.2116	−0.277	0.7818
Trial type × Group1	−0.5523	0.2528	−2.185	0.0289*

Notes. Effects (Trial, Experiment) were sum coded (i.e., levels of each factor were compared to the average). Maximal random effect structure was simplified until models converged. This model compares six-year-olds’ accuracy in production from Experiment 1 with accuracy in 2AFC in Experiment 2, with fixed effects of Trial type, Experiment (children from Experiment 1 and children from Experiment 2), and their interaction, along with random intercepts for subjects and items. Tests reaching statistical significance at the .05 criterion are marked in bold.

^*p < .05,

^**p < .01,

^***p < .001.