Table 7.
Logistic regression predicting whether respondents received a flu shot in the last 12 months where the reference group is “Yes” (they plan to have their child or children get all the remaining recommended vaccines).
| Predicted Likelihood B (S.E.) | |
|---|---|
| Yes | |
| Intercept | −9.09 (1.18) *** |
| Gender (Female) | 0.44 (0.23) |
| Age | 0.18 (0.07) ** |
| Race (Black) | 0.59 (0.37) |
| Race (Hispanic) | −1.26 (0.39) ** |
| Race (Other) | 0.70 (0.38) |
| Household Income | 0.06 (0.03) * |
| Education | 0.01 (0.06) |
| Informed about flu vaccine | 0.35 (0.20) |
| Aware of flu vaccine recommendation | 1.64 (0.36) *** |
| Physician recommendation | 1.63 (0.24) *** |
| Perceived likelihood of getting the flu | 0.50 (0.13) *** |
| Flu seriousness | 0.08 (0.18) |
| Flu consequences | −0.22 (0.16) |
| Flu contagiousness | 0.02 (0.14) |
| Confidence in flu vaccine | 0.90 (0.11) *** |
| Difficulty of getting flu shot | 0.00 (0.20) |
| -2 Log likelihood | 555.14 |
| Nagelkerke R2 | 0.64 |
| N | 774 |
Notes: (1) * p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001; (2) Nagelkerke index is adjusted so that the maximum value it can attain is 1.00 [27].