Table 3. Results from generalised linear mixed models in predicting sleep stage.

Individual Predictors	Pseudo R2	Pseudo R2 Change	p
TRC	.095	.095	.002
Edges	.011	.011	.307
LCC	.069	.069	.009
LSC	.002	.002	.676
LCCz	<.001	<.001	.804
LSCz	.011	.011	.313
Composite Models	Pseudo R2	Pseudo R2 Change	p
TRC + LCC	.138	.048	.033
LCC + TRC	.138	.074	.007

Values that reach statistical significance (α < .05) are shown in red. Significance testing and Pseudo R² are calculated in comparison to the Null Model for the first set of individual measures, and calculated in comparison to a model containing either TRC or LCC in the composite analyses. Where applicable, Pseudo R² Change and p-values reflect the contribution of the predictor highlighted in bold.