Table 3.
Multivariate logistic regression predicting donating: items to people in need during COVID-19 or money to combat COVID-19
| Predictor | B | SE B | Wald | df | p | Exp(B) | 95% CI |
|---|---|---|---|---|---|---|---|
| Model 1, χ2(7) = 22.73, p = .002, Nagelkerke = .188 | |||||||
| Gender | .18 | .54 | .11 | 1 | .74 | 1.20 | .42; 3.44 |
| Age | .13 | .04 | 9.40 | 1 | <.01 | 1.14 | 1.05; 1.24 |
| Frequency of volunteering before the epidemic | .23 | .09 | 6.51 | 1 | <.05 | 1.26 | 1.06; 1.50 |
| SVO (recoded) | −.01 | .02 | .23 | 1 | .64 | .99 | .96; 1.03 |
| Present-Fatalistic time perspective | .26 | .32 | .68 | 1 | .41 | 1.30 | .70; 2.41 |
| Present-Hedonistic time perspective | .90 | .36 | 6.22 | 1 | <.05 | 2.45 | 1.21; 4.94 |
| Future time perspective | −.08 | .35 | .05 | 1 | .83 | .93 | .47; 1.84 |
| Model 2, χ2(7) = 4.71, p = .696, Nagelkerke = .041 | |||||||
| Gender | −.15 | .51 | .09 | 1 | .77 | .86 | .32; 2.35 |
| Age | .06 | .04 | 2.70 | 1 | .10 | 1.06 | .99; 1.15 |
| Frequency of volunteering before the epidemic | .05 | .08 | .36 | 1 | .55 | 1.05 | .89; 1.24 |
| SVO (recoded) | .01 | .02 | .24 | 1 | .62 | 1.01 | .97; 1.05 |
| Present-Fatalistic time perspective | .06 | .30 | .04 | 1 | .85 | 1.06 | .59; 1.90 |
| Present-Hedonistic time perspective | .35 | .33 | 1.17 | 1 | .28 | 1.42 | .75; 2.71 |
| Future time perspective | .08 | .32 | .06 | 1 | .81 | 1.08 | .57; 2.04 |