Table 8. Generalized additive mixed model fitted to the lexical decision latencies of experiment 1a–b using lexical-distributional predictors.

A. parametric coefficients	Estimate	Std. Error	t-value	p-value
Intercept	-1.5060	0.0378	−39.8909	< 0.0001
Experiment = 1a	-0.0543	0.0278	-1.9539	0.0508
PrimeType = decomposable	-0.0177	0.0094	-1.8801	0.0601
Spelling Proficiency	-0.1442	0.0591	-2.4390	0.0148
B. smooth terms	edf	Ref.df	F-value	p-value
tensor product smooth PC1 by PC2	4.7244	4.7768	8.2846	< 0.0001
by-Participant factor smooths for Trial	393.6075	1527.0000	2.0833	< 0.0001
by-Previous-Target random intercepts	43.0657	139.0000	0.4539	0.0003
by-Prime random intercepts	28.0480	106.0000	0.4736	0.0014
by-Target random intercepts	27.9050	33.0000	16.8749	< 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 = 1244.3; fREML = 886.4; R-sq. = 0.492.