Table 4.
Logit model: dependent variable masks have a role related to the spread of viral disease, independent variables demographics and beliefs regarding masks to mitigate COVID-19 risk. N = 996.
| Marginal effect | Standard error | P-value | |
|---|---|---|---|
| Male | −0.00901 | 0.012359 | 0.4660 |
| Income | 0.017565 | 0.004754 | <0.0000 |
| Wearing a mask helps prevent the spread of COVID-19 | 0.078937 | 0.0154 | <0.0000 |
| Wearing a mask helps prevent me from getting COVID-19 | 0.032513 | 0.014699 | 0.0270 |
| Wearing a mask helps prevent me from spreading COVID-19 | 0.091317 | 0.015667 | <0.0000 |
| Wearing a mask will help prevent future lock-downs in my community related to COVID-19 | 0.068202 | 0.015962 | <0.0000 |
| There is social pressure in my community to wear a mask | −0.00595 | 0.013399 | 0.6570 |
| Wearing a mask does not prevent the spread of COVID-19 | −0.05382 | 0.016986 | 0.0020 |
| Wearing a mask has negative health consequences for the mask wearer | −0.05786 | 0.016734 | 0.0010 |