Table 3.

Generalized additive mixed model fitted to the lexical decision latencies for a range of SOAs (34, 50, 67, 84, 100), reporting parametric coefficients (A), and non-linear terms, tensor products, and random effects (B) with effective degrees of freedom (edf), reference degrees of freedom (Ref. df), F and p-values.

(A) Parametric coefficients	Estimate	SE	t-value	p-value
Intercept	-1.5482	0.0173	-89.3680	<0.0001
Prime type: dissimilar (S-)	-0.0337	0.0098	-3.4360	0.0006
Prime type: similar (S+)	-0.0834	0.0098	-8.4980	<0.0001
SOA linear (L)	0.0272	0.0132	2.0550	0.0399
SOA quadratic (Q)	-0.0089	0.0128	-0.7000	0.4841
SOA cubic (C)	0.0006	0.0263	0.0220	0.9822
SOA ˆ4 (4)	0.0056	0.0143	0.3930	0.6940
Prime type x SOA: S-× L	-0.0336	0.0149	-2.2510	0.0244
Prime type x SOA: S+ × L	-0.0600	0.0150	-4.0020	0.0001
Prime type x SOA: S-× Q	-0.0097	0.0153	-0.6380	0.5238
Prime type x SOA: S+ × Q	0.0225	0.0154	1.4650	0.1430
Prime type x SOA: S-× C	0.0257	0.0149	1.7210	0.0852
Prime type x SOA: S+ × C	0.0092	0.0150	0.6170	0.5375
Prime type x SOA: S-× 4	-0.0094	0.0156	-0.6060	0.5445
Prime type x SOA: S+ × 4	-0.0099	0.0157	-0.6340	0.5258
(B) Smooth terms	edf	Ref. df	F-value	p-value
TENSOR PRODUCT PC1 by PC2	7.2160	7.3460	5.6160	<0.0001
By-participant random intercepts	168.1320	176.0000	22.0310	<0.0001
By-participant random slopes for PC2	52.7390	177.0000	0.4380	0.0002
By-target random intercepts	37.0270	48.0000	15.2410	<0.0001
By-prime random intercepts	56.3350	150.0000	1.0760	0.0004