Table 3.

Three Central-Bias—Saliency GLMMs fitting fixation probability for a scene memorization task.

	B	SE	z	p
IKN98
Fixed effects
Intercept	−1.2084	0.0335	−36.08	<0.001
Central bias	−0.5903	0.0363	−16.27	<0.001
Saliency	0.3992	0.0300	13.33	<0.001
Random effects
Groups	Name	Variance	Correlation
Subject	Intercept	0.02925	Intercept
	Central bias	0.02194	0.82	Central bias
	Saliency	–	–	–
Item	Intercept	0.05951	Intercept
	Central bias	0.11434	0.57	Central bias
	Saliency	0.12918	0.00	0.49
AWS
Fixed effects
Intercept	−1.2248	0.0382	−32.04	<0.001
Central bias	−0.5563	0.0345	−16.15	<0.001
Saliency	0.7173	0.0365	19.64	<0.001
Random effects
Groups	Name	Variance	Correlation
Subject	Intercept	0.03123	Intercept
	Central bias	0.02602	0.83	Central bias
	Saliency	0.00250	0.43	0.39
Item	Intercept	0.10334	Intercept
	Central bias	0.08081	0.50	Central bias
	Saliency	0.18581	0.20	0.35
GBVS
Fixed effects
Intercept	−1.2027	0.0366	−32.84	<0.001
Central bias	−0.2301	0.0489	−4.71	<0.001
Saliency	0.6956	0.0474	14.66	<0.001
Random effects
Groups	Name	Variance	Correlation
Subject	Intercept	0.03102	Intercept
	Central bias	0.01327	0.73	Central bias
	Saliency	0.00585	−0.63	−0.36
Item	Intercept	0.08580	Intercept
	Central bias	0.30123	0.35	Central bias
	Saliency	0.30598	0.25	0.82

Estimates of coefficients, standard errors, and z-ratios for fixed effects and variances and correlations for random effects.