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. 2024 Feb 20;10(1):21. doi: 10.1038/s41537-024-00438-4

Table 1.

Results of LME comparison for top-down and bottom-up model.

	bottom-up sqrt(NSS)			top-down sqrt(NSS)
Predictors	Estimates	CI	p	Estimates	CI	p
(Intercept)	0.44	0.37–0.58	<0.001	0.57	0.53–0.61	<0.001
SCHZ	0.01	−0.01–0.03	0.281	–0.03	−0.07–0.02	0.206
Incongruent	0.01	−0.10–0.11	0.921	0.04	−0.01–0.09	0.132
Physically salient	−0.04	−0.14–0.06	0.428	–0.11	−0.17–−0.06	<0.001
Social interaction	−0.08	−0.18–0.02	0.099	0.18	0.12–0.23	<0.001
Social landscape	−0.02	−0.12–0.08	0.699	0.09	0.04–0.14	0.001
SCHZ × Incongruent	0.01	−0.01–0.02	0.224	0.03	−0.00–0.06	0.050
SCHZ × Physically salient	0.02	0.00–0.03	0.015	0.03	−0.00–0.06	0.051
SCHZ × Social interaction	0.01	−0.01–0.02	0.324	–0.06	−0.09–−0.03	<0.001
SCHZ × Social landscape	0.01	−0.00–0.03	0.153	0.01	−0.02–0.04	0.582
Random Effects
σ²	0.02			0.07
τ₀₀	0.00 _ID			0.01 _ID
	0.00 _imageCat			0.00 _imageCat
ICC	0.10			0.07
N	54 _ID			54 _ID
	5 _imageCat			5 _imageCat
Observations	13436			13436
Marginal R²/Conditional R²	0.049/0.140			0.090/0.157

sqrt square root, NSS normalised scan path, ID unique participant identification string, imageCat Image category.