Logit estimates on the likelihood of high impact of COVID-19
| Female (n = 172) | Male (n = 80) | |||||
|---|---|---|---|---|---|---|
| Odds ratio | Z | p>|z| | Odds ratio | Z | p>|z| | |
| Country | 0.424 | −1.13 | 0.260 | 4.706* | 1.74 | 0.081 |
| Experience | 1.022 | 1.02 | 0.307 | 0.875* | −1.78 | 0.074 |
| Household size | 1.204** | 2.13 | 0.033 | 0.860 | −1.31 | 0.191 |
| Education | 0.968 | −0.52 | 0.604 | 0.852* | −1.81 | 0.070 |
| Household type | 0.349** | −2.43 | 0.015 | 0.543 | −1.08 | 0.281 |
| Membership to associations | 8.366*** | 3.98 | 0.000 | 1.118 | 0.16 | 0.876 |
| Fish type | 0.522 | −1.29 | 0.196 | 0.807 | −0.34 | 0.735 |
| Price | 5.736*** | 3.69 | 0.000 | 1.117 | 0.17 | 0.866 |
| Trips to source | 0.998 | −0.37 | 0.709 | 1.000 | 0.02 | 0.986 |
| Coping strategy | 0.586** | −1.93 | 0.050 | 0.917 | −0.24 | 0.812 |
| Constant | 0.204 | −1.47 | 0.143 | 87.417 | 2.71 | 0.007 |
| Prob > χ2 = 0.000 | Prob > χ2 = 0.011 | |||||
| log likelihood = −90.070 | log likelihood = −46.430 | |||||
| Female ( | Male ( | |||||
|---|---|---|---|---|---|---|
| Odds ratio | Odds ratio | |||||
| Country | 0.424 | −1.13 | 0.260 | 4.706* | 1.74 | 0.081 |
| Experience | 1.022 | 1.02 | 0.307 | 0.875* | −1.78 | 0.074 |
| Household size | 1.204** | 2.13 | 0.033 | 0.860 | −1.31 | 0.191 |
| Education | 0.968 | −0.52 | 0.604 | 0.852* | −1.81 | 0.070 |
| Household type | 0.349** | −2.43 | 0.015 | 0.543 | −1.08 | 0.281 |
| Membership to associations | 8.366*** | 3.98 | 0.000 | 1.118 | 0.16 | 0.876 |
| Fish type | 0.522 | −1.29 | 0.196 | 0.807 | −0.34 | 0.735 |
| Price | 5.736*** | 3.69 | 0.000 | 1.117 | 0.17 | 0.866 |
| Trips to source | 0.998 | −0.37 | 0.709 | 1.000 | 0.02 | 0.986 |
| Coping strategy | 0.586** | −1.93 | 0.050 | 0.917 | −0.24 | 0.812 |
| Constant | 0.204 | −1.47 | 0.143 | 87.417 | 2.71 | 0.007 |
Note(s): Significance levels: *** 0.001 **0.05 *0.10
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