Table 3.
Hierarchical regression analysis predicting smartphone addiction.
| Model | R2 | Adj. R2 | ΔR2 | F | p | ΔF | ΔF p |
|---|---|---|---|---|---|---|---|
| Model 1: Controls | 0.056 | 0.054 | 0.056 | 28.784 | < 0.001 | 28.784 | < 0.001 |
| Model 2: + Social Support | 0.109 | 0.107 | 0.053 | 52.364 | < 0.001 | 205.401 | < 0.001 |
| Model 3: + Depression & Anxiety | 0.236 | 0.234 | 0.127 | 105.761 | < 0.001 | 284.647 | < 0.001 |
| Model 4: + Avoidance | 0.494 | 0.492 | 0.257 | 303.027 | < 0.001 | 1738.640 | < 0.001 |
Model 1 entered the control variables (age, gender, only-child status, BMI category, parents’ education level, family size and self-rated physical health). ΔF tests the increment in R2 at each step.