Table 2.

Results from backwards elimination stepwise regression.

Model		Intercept	Visuospatial/Executive	Naming	Language	Attention	Orientation	Delayed Recall	Abstraction	R2	Adjusted R2
1	B	21.36	11.96*	13.38	−2.52	−2.30	−12.36	0.61	−0.39	0.48	0.33
	SE B	80.93	2.84	7.14	3.14	2.04	13.91	1.43	3.27
	β		0.75	0.29	−0.16	−0.18	−0.16	0.07	−0.02
2	B	23.39	11.91*	13.44	−2.63	−2.30	−12.82	0.63		0.48	0.36
	SE B	77.57	2.76	6.98	2.95	2.00	13.11	1.39
	β		0.76	0.29	−0.16	−0.18	−0.17	0.07
3	B	−2.17	10.46*	13.28	−3.99	−1.62	−7.20			0.37	0.26
	SE B	82.10	2.82	7.27	3.09	2.10	13.87
	β		0.69	0.28	−0.25	−0.12	−0.09
4	B	−42.55*	10.40*	13.33	−4.61	−1.84				0.37	0.28
	SE B	26.07	2.78	7.18	2.82	2.03
	β		0.69	0.28	−0.29	−0.14
5	B	−52.68*	9.96*	13.94	−4.50					0.35	0.28
	SE B	23.47	2.73	7.12	2.81
	β		0.66	0.30	−0.29
6	B	−52.51*	7.61*	13.29						0.29	0.24
	SE B	24.08	2.36	7.29
	β		0.50	0.28
7	B	−11.52	6.96*							0.21	0.19
	SE B	8.91	2.42
	β		0.46

Note. Dependent variable was 24-hour performance change. Independent variables were scores from subtests of the MoCA. The final model shows that only Visuospatial/Executive score of the MoCA predicted 24-hour performance change.

^*p < .05.