Table 6.

Results of LME model analysis of reaction times.

Variables	Estimate	SE	df	t	pr (>|t|)
Intercept	3.16	0.02	43.41	167.92***	<0.001
Familiarity	−0.06	0.01	45.44	−6.20***	<0.001
English Vocabulary Proficiency	0.00	0.02	29.01	0.23	0.816
ContextY	−0.03	0.02	41.07	−1.50	0.141
English Vocabulary Proficiency: ContextY	0.02	0.01	1108.40	2.00*	0.046

^*p < 0.05, ^***p < 0.001.

Participants = 31. Items = 44. Total observation = 1181.

SE, standard error. df, degree of freedom.

The optimal model is lmer [logrt ~ Vocabulary Proficiency + Context + Familiarity + Vocabulary Proficiency: Familiarity + (1|item) + (1|participant), data = data, lmerControl optimizer = “bobyqa,” optCtrl = list (maxfun = 100000)].