Table 8 Difference in Public Behavior
From: Official social media and its impact on public behavior during the first wave of COVID-19 in China
Variable | PB | CB | |||||
|---|---|---|---|---|---|---|---|
Sample | Mean | F | p | Mean | F | p | |
Region | |||||||
High-risk | 141 | 10.206 | 7.752*** | 0.006 | 4.184 | 14.789*** | 0.000 |
Low-risk | 525 | 9.2781 | 3.619 | ||||
Gender | |||||||
Female | 284 | 9.919 | 7.749*** | 0.006 | 3.912 | 6.107** | 0.014 |
Male | 382 | 9.144 | 3.610 | ||||
Age | |||||||
Under 18 years old | 29 | 8.483 | 9.910*** | 0.000 | 3.517 | 4.810*** | 0.001 |
18–35 years old | 413 | 9.022 | 3.564 | ||||
36–45 years old | 180 | 10.283 | 4.050 | ||||
46–60 years old | 39 | 10.436 | 4.154 | ||||
60 + years old | 5 | 9.476 | 3.739 | ||||
Annual Income | |||||||
Less than 30,000 | 293 | 8.440 | 36.433*** | 0.000 | 3.277 | 28.697*** | 0.000 |
30,000–100,000 | 269 | 9.487 | 3.822 | ||||
100,001–200,000 | 85 | 12.588 | 4.835 | ||||
More than 200,000 | 19 | 11.316 | 4.780 | ||||