Table 2.
Regression analysis of job burnout.
| Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
| Job burnout | Job burnout | Job stress | Job burnout | |
| β (SE) | β (SE) | β (SE) | β (SE) | |
| ICC (intercultural communication competence) | −0.191*** | −0.075** | −0.143*** | |
| (0.171) | (0.055) | (0.139) | ||
| Job stress | 0.647*** | 0.631*** | ||
| (0.078) | (0.077) | |||
| Age | −0.137*** | −0.127*** | −0.044 | −0.127*** |
| (0.095) | (0.075) | (0.031) | (0.077) | |
| Sex (0 = female, 1 = male) | −0.089*** | −0.038+ | −071** | −0.044* |
| (1.812) | (1.495) | (0.586) | (1.465) | |
| Nationality (0 = Chinese, 1 = Bruneian) | 0.293*** | −0.048 | 0.518*** | −0.036 |
| (1.549) | (1.430) | (0.501) | (1.404) | |
| Education (0 = below college, 1 = college and above) | 0.047 | 0.011 | 0.047+ | 0.013 |
| (1.445) | (1.190) | (0.468) | (1.166) | |
| Marital status (0 = unmarried, 1 = married) | −0.011 | −0.024 | −0.019 | −0.021 |
| (1.774) | (1.460) | (0.574) | (1.429) | |
| Number of children | −0.120** | −0.074* | −0.061 | −0.079** |
| (0.946) | (0.779) | (0.306) | (0.763) | |
| Salary/1,000 | −0.042 | −0.015 | −0.053 | −0.004 |
| (0.106) | (0.087) | (0.034) | (0.086) | |
| _cons | 95.208*** | 11.845* | 29.420*** | 41.291*** |
| (6.379) | (3.706) | (2.017) | (5.468) | |
| N | 1,064 | 1,064 | 1,064 | 1,064 |
| F | 58.38*** | 148.99*** | 82.74*** | 143. 51*** |
| Adjusted R2 | 0.302 | 0.527 | 0.381 | 0.547 |
+p < 0.10, *p < 0.05, **p < 0.01, ***p < 0.001.