TABLE 3.
Multiple linear regression analysis for work from home (WFH) predicting less distractibility in WFH compared to work on-site (H2).
| Variable | B | SE B | β | t | p |
| Age (years) | –0.015 | 0.009 | –0.117 | –1.785 | 0.076 |
| Gender (1 = female, 2 = male) | –0.392 | 0.187 | −0.143* | –2.103 | 0.037 |
| Partnership (0 = no, 1 = yes) | –0.106 | 0.220 | –0.032 | –0.483 | 0.630 |
| Leadership (0 = no, 1 = yes) | 0.363 | 0.260 | 0.096 | 1.396 | 0.164 |
| Part–time work (%FTE) | 0.007 | 0.007 | 0.075 | 0.960 | 0.338 |
| Children | –0.047 | 0.091 | –0.038 | –0.520 | 0.603 |
| Qualitative work demands | 0.055 | 0.099 | 0.040 | 0.561 | 0.575 |
| Quantitative work demands | 0.061 | 0.097 | 0.046 | 0.632 | 0.528 |
| WFH (# days/month) | 0.049 | 0.017 | 0.185** | 2.814 | 0.005 |
| Total R2 | 0.122*** | <0.001 | |||
| F(9,223) = 3.446 |
N = 233; *p < 0.05, **p < 0.01, ***p < 0.001.