Table 3.

Model summary of the GLME models examining the effects of log-transformed degree centrality and log frequency on response accuracy in Experiments 1–3

	Experiment 1 (reanalysis)				Experiment 2 (replication)				Experiment 3
	Estimate	SE	z	p	Estimate	SE	z	p	Estimate	SE	z	p
Intercept	1.51	0.17	9.01	<.001*	1.05	0.15	6.91	<.001*	0.77	0.09	8.45	< .001*
Log degree	0.25	0.07	3.56	<.001*	0.17	0.07	2.46	.014*	0.15	0.06	2.73	.006*
Log freq	−0.19	0.07	−2.84	.005*	−0.03	0.07	−0.39	.695	−0.09	0.06	−1.39	.166
Log degree × Log freq	0.05	0.06	0.72	.473	−0.08	0.06	−1.36	.175	0.03	0.07	0.40	.687

Note. Log degree = log-transformed degree centrality; Log freq = log frequency. *p < .05