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. Author manuscript; available in PMC: 2020 Dec 1.

Published in final edited form as: Psychiatr Rehabil J. 2019 Apr 4;42(4):358–365. doi: 10.1037/prj0000364

Table 2.

Hierarchical Multiple Regression Analyses Predicting Neurocognition from Amount of Community Participation (N=168)

Predictor	Outcome
	Verbal Memory		Token Motor		Digit Sequencing		Verbal Fluency		Symbol Coding		Tower of London		Composite

	∆R²	β	∆R²	β	∆R²	β	∆R²	β	∆R²	β	∆R²	β	∆R²	β

Block 1:	.03^*		.03^*		.001		.03^*		.05^**		.01		.04^*
Linear Term		.16^*		.16^*		.03		.17^*		23^**		.09		.21^*
Block 2:	.03^*		.01		.01		.004		.002		.01		.02
Linear Term		.33^**		.25^*		.14		.24^*		.28^*		.17		.35^**
Quadratic Term		−.24^*		−.12		−.14		−.09		−.07		−.10		−.19
Total R²^†	.05		.03		.001		.03		.05		.01		.04
*F-value*^†	4.48^*		4.32^*		.19		5.19^*		9.30^**		1.46		7.29^**

^*

p < .05.

^**

p < .01.

^†

Reported values pertain to the best fitting model, or to the linear model if no model fit the data well.