Table 5.
Hierarchical multiple regression analysis predicting life satisfaction (N = 330).
| Variables | Step 1 β (SE) | Step 2 β (SE) | Step 3 β (SE) | Step 4 β (SE) |
|---|---|---|---|---|
| Age | 0.15* (0.10) | 0.20** (0.10) | 0.02** (0.10) | 0.15* (0.09) |
| Gender | 0.10 (0.67) | 0.13* (0.66) | 0.13* (0.64) | 0.05 (0.58) |
| Marital status | 0.04 (0.76) | 0.04 (0.74) | 0.02 (0.73) | −0.08 (0.66) |
| Education | −0.02 (0.61) | −0.05 (0.60) | −0.07 (0.59) | −0.03 (0.53) |
| Income | 0.06 (0.73) | 0.02 (0.72) | −0.01 (0.71) | −0.04 (0.64) |
| Living arrangement | 0.02 (1.04) | 0.01 (1.01) | −0.02 (1.00) | −0.13* (0.92) |
| Years since retirement | −0.13* (0.08) | −0.14* (0.08) | −0.16* (0.08) | −0.16* (0.07) |
| Working status | −0.23*** (0.58) | −0.21*** (0.58) | −0.15** (0.52) | |
| Social integration | 0.22*** (0.54) | 0.10 (0.50) | ||
| Social support | 0.49*** (0.32) | |||
| R 2 | 0.03 | 0.08** | 0.12*** | 0.30*** |
| R 2 Change | 0.03*** | 0.05*** | 0.04*** | 0.18*** |
*
p < 0.05. **p < 0.01. ***p < 0.001.