Table 6.
Parameter estimates and regression diagnostics of colinearity for multiple linear regression model of change in COPM satisfaction individual mean score.
| Predictor | b | β | P | VIF |
|---|---|---|---|---|
| Constant | 4.236 | 0.012 | ||
|
| ||||
| Gender (male versus female) | 1.089 | 0.208 | 0.071 | 1.154 |
| Age (years) | −0.006 | −0.034 | 0.754 | 1.035 |
| COPM satisfaction at 1st assessment | −0.683 | −0.454 | <0.001 | 1.140 |
|
| ||||
| Diagnosis type (more versus less severe) | −0.498 | −0.088 | 0.439 | 1.145 |
| Number of assistive technologies | 0.696 | 0.256 | 0.022 | 1.076 |
b: regression coefficient; β: standardised regression coefficient; VIF: variance inflation factor.