Table 3. Attitude on COVID-19 vaccination intention (hierarchical binary logistic regression).
Dependent variable: COVID-19 vaccination intention | ||||
---|---|---|---|---|
Beta estimates and p values | ||||
Independent variables | logit model | logit model | logit model | logit model |
(1) | (2) | (3) | (4) | |
(1). Trust vaccine manufacturers | 0.809 | 0.376 | ||
p = 0.030** | p = 0.378 | |||
(2). Trust Ministry of Health | 0.752 | 0.384 | ||
p = 0.073* | p = 0.415 | |||
(3). Belief in vaccine safety | 1.163 | 0.714 | ||
p = 0.002*** | p = 0.076* | |||
(4). Risk management of COVID-19 vaccine side effects | 0.899 | 0.623 | ||
p = 0.005*** | p = 0.072* | |||
(5). Trust in health systems | 0.618 | 0.147 | ||
p = 0.130 | p = 0.754 | |||
(6). Concerns on the safety of COVID-19 | -0.215 | -0.170 | ||
p = 0.064* | p = 0.152 | |||
Constant | 0.693 | -0.124 | 0.937 | 0.19 |
p = 0.042** | p = 0.717 | p = 0.089* | p = 0.768 | |
Observations | 330 | 330 | 330 | 330 |
Log Likelihood | -162.935 | -152.749 | -152.457 | -149.067 |
Akaike Inf. Crit. | 329.87 | 311.498 | 312.914 | 312.134 |
Note
*p < 0.1
**p <0.05
***p<0.01.