Table 8.
Collinearity diagnostics of the independent variables.
| Variable | Tolerance | VIF |
|---|---|---|
| Family type | 0.770 | 1.299 |
| Living place | 0.611 | 1.636 |
| Age of mother | 0.730 | 1.369 |
| Mother′s education level | 0.470 | 2.127 |
| Father′s education level | 0.474 | 2.108 |
| Dual‐income family | 0.401 | 2.494 |
| Mother′s profession | 0.384 | 2.605 |
| Father′s profession | 0.799 | 1.252 |
| Family monthly income | 0.527 | 1.899 |
| Child has own smartphone | 0.682 | 1.467 |
| Child age | 0.865 | 1.156 |
| Child gender | 0.841 | 1.189 |
| Number of siblings | 0.711 | 1.406 |
| Parents′ perception and behavior toward smartphone | 0.542 | 1.844 |
| Mother′s daily smartphone use | 0.604 | 1.656 |
| Child′s smartphone use (h/day) | 0.588 | 1.700 |
Note: All VIF values were below three, indicating no evidence of multicollinearity among the predictor variables.
Abbreviation: VIF, variance inflation factor.