Table 4.

Model of parental quality of life based on hierarchical regression.

Variables	r with PV	B	β	TOL	VIF	F(df1, df2)	R and R2 Values
Sociodemographic
Schooling	0.22	4.59 ***	0.2	0.88	1.13	F(3, 412) = 13 ***	R = 0.29
							R² = 0.09
Age	0.14	0.19 **	0.14	0.96	1.04		Adj. R² = 0.08
Family income	0.2	3.66 *	0.13	0.88	1.14		ΔR² = 0.86 ***
Psychosocial
Resilience	0.55	0.21 ***	0.31	0.7	1.43	F(7, 408) = 62.54 ***	R = 0.66
Social support networks	0.4	0.09 ***	0.14	0.76	1.32		R² = 0.43
Family functioning	0.24	0.14 *	0.09	0.89	1.12		Adj. R² = 0.42
Depression	−0.49	−0.33 ***	−0.29	0.81	1.23		ΔR² = 0.35 ***

Note. PV = predicted variable (family caregiver quality of life corresponding to WHOQOL Questionnaire total score). All predictors are sociodemographic or psychosocial variables of the parents: Family functioning (Family functioning scale total score), Social support networks (Social support networks scale total score), Depression (Beck Depression Inventory total score), and Resilience (Mexican Resilience Measurement Scale total score). Schooling (0 = no schooling or primary education and 1 = secondary or higher education). Family income (0 = < 2 minimum wage ≈ 279.36 USD and 1 = ≥ 2 minimum wage). The variables that were included in the calculation but were not entered in the model were family support (family support scale total score), caregiver burden (Zarit Burden Interview total score), parental stress (parental stress scale total score), and conservatism in relation to traditional Latin culture (HSCPS total score). r = Pearson product-moment correlation coefficient. B = raw regression coefficient. β = standardized regression coefficient. TOL = tolerance index. VIF = variance inflation factor. F = test statistic. df₁ = degrees of freedom for the regression sum of squares. df₂ = degrees of freedom for the residual sum of squares. R = multiple correlation coefficient. R² = squared multiple correlation coefficient or the proportion of variance in the outcome variable explained by the predictors. Adjusted R² = adjusted squared multiple correlation coefficient or squared epsilon coefficient. ΔR² = quotient of the relationship between the increase in the residual sum of squares and the total sum of squares. Significance with a two-tailed test: * p-value ≤ 0.05, ** p-value ≤ 0.01, *** p-value ≤ 0.001. N = 416.