Table 3.
Hierarchical logistic regression for senior high school students.
| Predictor | Model 1 | Model 2 |
|---|---|---|
| OR [95% CI] | OR [95% CI] | |
| Step 1: Demographic Variables | ||
| Gender | 1.50a[1.25,1.79] | 1.34b[1.11,1.64] |
| Grade | 0.98[0.87,1.10] | 1.02[0.90,1.15] |
| Boarding status | 1.07[0.82,1.39] | 1.00[0.75,1.34] |
| Single-child status | 0.99[0.73,1.35] | |
| Step 2: Psychological Variables | ||
| Emptiness | 1.03a[1.01,1.04] | |
| Presence of meaning | 0.88a[0.86,0.89] | |
| Searching of meaning | 1.02[0.99,1.03] | |
| Model fit | ||
| Nagelkerke R2 | 0.012 | 0.21 |
| Model χ2 | 4.39 | 11.61 |
P < 0.001
P < 0.01