TABLE 7.
Binary probit regression predicting support for vaccines.
| Mean estimate | 2.5th percentile | 97.5th percentile | |
| ThreatScale | 0.251 | 0.130 | 0.379 |
| KnownScale | 0.104 | –0.024 | 0.236 |
| MoralScale | 0.000 | –0.126 | 0.128 |
| EfficacyScale | –0.061 | –0.254 | 0.129 |
| Conservative | –0.034 | –0.158 | 0.092 |
| Female | –0.062 | –0.380 | 0.247 |
| Age | 0.013 | –0.076 | 0.103 |
| Age = Unknown | 0.059 | –0.266 | 0.389 |
| Constant | 0.297 | 0.069 | 0.537 |
Dependent variable: “Which of the following types of research do you think governments should fund now with tax dollars? Research to… make vaccines against pandemic diseases” (1 = Yes, 0 = No, N = 400). Mean Log Likelihood = −240, Nagelkerke pseudo-R2 = 0.11. Bootstrapped confidence intervals.