Table 3.
Multilevel Models of Employment Status Predicting Time Spent on Daily Household Chores
| Model 1 | Model 2 | |
| Fixed effects | ||
| Intercept | 1.796 (0.198)*** | 2.508 (0.260)*** |
| Person-level predictors | ||
| Employment status (working = 1) | −0.446 (0.185)* | −1.597 (0.359)** |
| Age | 0.006 (0.016) | −0.028 (0.020) |
| Gender (women = 1) | 0.861 (0.168)*** | 0.290 (0.225)*** |
| Marital status (married = 1) | 0.166 (0.178) | −0.344 (0.255) |
| Week (weekend = 1) | 0.067 (0.089) | 0.070 (0.089) |
| Functional limitations | −0.097 (0.041)* | −0.107 (0.040)** |
| Logged household income | −0.007 (0.085) | −0.009 (0.084) |
| Age × employment status | 0.080 (0.031)* | |
| Gender × employment status | 1.094 (0.317)*** | |
| Marital × employment status | 0.897 (0.332)** | |
| Random effect (variance component) | ||
| Between-person intercept (Level 2) | 1.203*** (df = 260) | 1.095*** (df = 257) |
| X2 = 324.01*** | X2 = 283.22*** | |
| Within-person (Level 1) | 2.867*** | 2.868*** |
Note: *p < .05. **p < .01. ***p < .001.