Table 4.

Results of the hierarchical linear regression analyses for four outcomes: medication adherence at baseline, medication adherence at six-month follow-up, categorized stroke risk at baseline, and categorized stroke risk at six-month follow-up.

	β	R2
Medication Adherence, Baseline		.23† (F(4, 564) = 41.60)
Affective Illness	−.14†	.02† (F(1, 564) = 12.33)
Cognitive Illness	.18†	.03† (F(1, 564) = 22.16)
Affective Treatment	−.31†	.08† (F(1, 564) = 56.71)
Cognitive Treatment	.13**	.02** (F(1, 564) = 11.62)
Medication Adherence, Six-Month		.16† (F(4, 485) = 23.14)
Affective Illness	−.16†	.02† (F(1, 485) = 13.36)
Cognitive Illness	.12**	.01** (F(1, 485) = 7.89)
Affective Treatment	−.24†	.05† (F(1, 485) = 28.22)
Cognitive Treatment	.10*	.01* (F(1, 485) = 5.63)
Stroke Risk, Baseline		.03** (F(4, 569) = 5.04)
Affective Illness	−.01	.00 (F(1, 569) = .02)
Cognitive Illness	−.17†	.03† (F(1, 569) = 14.92)
Affective Treatment	.06	.003 (F(1, 569) = 1.77)
Cognitive Treatment	.01	.00 (F(1, 569) = .05)
Stroke Risk, Six-Month		.04** (F(4, 485) = 4.67)
Affective Illness	−.06	.003 (F(1, 485) = 1.58)
Cognitive Illness	−.15**	.02** (F(1, 485) = 10.56)
Affective Treatment	.10*	.01* (F(1, 485) = 4.39)
Cognitive Treatment	.05	.002 (F(1, 485) = 1.06)

Notes: β is the standardized regression coefficient for each domain composite predicting the outcome in the final model (when all belief composites are entered simultaneously). The R-squared values for each domain are the unique R² change values obtained through dominance analysis – when the specified domain is entered into the hierarchical linear regression in a step after the other three domains are entered together.

^*p < .05;

^**p < .01;

^†p < .001.