Table 10. Generalized additive mixed model fitted to the lexical decision latencies of experiment 2 using classical lexical-distributional predictors.

A. parametric coefficients	Estimate	Std. Error	t-value	p-value
Intercept	-1.7086	0.0391	-43.7313	< 0.0001
PrimeType = decomposable	0.0466	0.0156	2.9907	0.0028
B. smooth terms	edf	Ref.df	F-value	p-value
tensor product smooth spelling by vocabulary	4.4080	4.4872	2.5166	0.0425
tensor product smooth PC1 by PC2	4.9225	5.0632	4.8111	0.0003
by-Participant random slopes for PC2	19.4850	58.0000	0.5139	0.0058
by-Participant factor smooths for Trial	155.0738	527.0000	1.6872	< 0.0001
by-Previous-Target random intercepts	27.6669	139.0000	0.2548	0.0173
by-Prime random intercepts	20.8703	106.0000	0.2903	0.0213
by-Target random intercepts	23.4921	33.0000	4.4773	< 0.0001

A: parametric coefficients; B: effective degrees of freedom (edf), reference degrees of freedom (Ref.df), F and p values for the non-linear terms, tensor products and random effects. AIC = 726.0; fREML = 474.8; R-sq. = 0.509.