Table 3.

Results from linear mixed effects regression model predicting log-transformed speech onset latencies.

	$\widehat{\beta }$	|t|	F statistic	p
Intercept	7.45	230.54
Agent humanness (= non-human)	> −0.01	0.07	F(1, 41) = 0.03	0.87
Patient humanness (= non-human)	−0.03	1.00	F(1, 57) = 0.69	0.41
Agent humanness × patient humanness	−0.02	0.29	F(1, 30) = 0.06	0.81
Actives vs. passives	−0.04	0.97	F(2, 27) = 2.08	0.14
V-final actives vs. V-medial actives	0.05	1.93
First-fixated character (= patient)	−0.02	1.34	F(1, 31) = 1.49	0.23
Event codability (z-transformed)	0.01	1.03	F(1, 33) = 0.69	0.41