Table 11. Generalized additive model for the response latencies in experiment 2 using discrimination-based predictors.

A. parametric coefficients	Estimate	Std. Error	t-value	p-value
Intercept	-1.6726	0.0335	-49.9040	< 0.0001
PrimeType = decomposable	0.0475	0.0155	3.0527	0.0023
B. smooth terms	edf	Ref.df	F-value	p-value
te(G2L prior by G2L a-diversity by Spe.Voc)	28.9285	40.7838	1.5446	0.0156
by-Target random intercepts	23.4973	33.0000	3.8050	< 0.0001
by-Prime random intercepts	20.8670	106.0000	0.2841	0.0204
by-Previous-Target random intercepts	27.9795	139.0000	0.2559	0.0147
by-Participant factor smooths for Trial	156.9850	529.0000	1.9029	< 0.0001

AIC = 722.5; fREML = 464.5; R-sq. = 0.511.