Table 6.
Predictors | Simple Linear Regression | Multiple Linear Regression | ||
---|---|---|---|---|
b * (95% CI) | p | b # (95% CI) | p | |
Mother’s Education | ||||
No Education/Primary | −0.65 (−7.59, 6.29) | 0.854 | 0.77 (−6.03, 7.58) | 0.822 |
Secondary (Ref.) | - | - | - | - |
Beyond Secondary | 3.72 (−1.43, 8.86) | 0.156 | 9.20 (3.21, 15.20) | 0.003 |
Family Monthly Income | ||||
Low (Ref.) | - | - | - | |
Medium | −1.87 (−7.39, 3.66) | 0.505 | −2.00 (−7.64, 3.64) | 0.485 |
High | −4.03 (−9.63, 1.56) | 0.156 | −8.99 (−15.56, −2.43) | 0.008 |
Children with Other Disability | 7.91 (0.06, 15.75) | 0.048 | 11.83 (3.71, 19.95) | 0.005 |
Dependent variable for both regressions was Family Functioning Summary Score. Backward method applied. The model reasonably fits. There were no multicollinearity problems and interactions detected. Model assumptions of linearity, independent sample, normality, and homoscedasticity were fulfilled. Coefficient of determination (R2) is 0.103. * Crude regression coefficient. # Adjusted regression coefficient. Ref. = Reference category.