Table 2.
Factors associated with the ability to detect COVID-19 misinformation (Threshold = 0.5, Gender = Both).
| Predictors | B | S.E. | Wald | df | Sig. | Exp(B) | 95% C.I. for EXP(B) | |
|---|---|---|---|---|---|---|---|---|
| Lower | Upper | |||||||
| Years of HE | 0.43 | 0.16 | 7.14 | 1.00 | 0.01 | 1.54 | 1.12 | 2.11 |
| Internet use | 10.91 | 3.00 | 0.01 | |||||
| Internet use (1) | −0.89 | 0.99 | 0.82 | 1.00 | 0.37 | 0.41 | 0.06 | 2.83 |
| Internet use (2) | −1.94 | 1.02 | 3.60 | 1.00 | 0.06 | 0.14 | 0.02 | 1.07 |
| Internet use (3) | −1.40 | 0.52 | 7.21 | 1.00 | 0.01 | 0.25 | 0.09 | 0.69 |
| FHL1 | 6.89 | 2.00 | 0.03 | |||||
| FHL1(1) | −1.11 | 0.43 | 6.68 | 1.00 | 0.01 | 0.33 | 0.14 | 0.77 |
| FHL1(2) | −0.31 | 0.34 | 0.81 | 1.00 | 0.37 | 0.74 | 0.38 | 1.44 |
| eHEALS-SUM | 0.05 | 0.02 | 4.73 | 1.00 | 0.03 | 1.05 | 1.01 | 1.09 |
| GHNT-SUM | −0.27 | 0.11 | 6.12 | 1.00 | 0.01 | 0.76 | 0.62 | 0.95 |
| CRT-SUM | −0.70 | 0.23 | 9.04 | 1.00 | 0.00 | 0.50 | 0.32 | 0.79 |
| PHQSUM | −0.05 | 0.02 | 3.98 | 1.00 | 0.05 | 0.95 | 0.91 | 1.00 |
| Constant | 6.77 | 1.44 | 22.19 | 1.00 | 0.00 | 873.84 | ||