Table 4. Probit regression of factors influencing decision to accept COVID-19 vaccines.
Variables | dy/dx | Std Error | P>|z| |
---|---|---|---|
Female | -0.0062 | 0.0408 | 0.879 |
Age | 0.0005 | 0.0117 | 0.966 |
Age2 | 0.0001 | 0.0002 | 0.629 |
Religion(Christian = 1) | -0.0036 | 0.0798 | 0.652 |
Occupation | |||
Other professional workers | -0.0464 | 0.0496 | 0.350 |
Others | -0.1953 | 0.0629 | 0.002*** |
Unemployed | -0.1720 | 0.0735 | 0.019** |
Susceptibility(highPerceived risk = 1) | 0.1922 | 0.0505 | 0.000*** |
Severity (severe = 1) | 0.0634 | 0.0468 | 0.175 |
Benefit(Beneficial = 1) | 0.2436 | 0.0504 | 0.000*** |
Attitude(Positive Attitude = 1) | 0.3190 | 0.0723 | 0.000*** |
Barriers | -0.0073 | 0.0065 | 0.262 |
Cues to Action | 0.0102 | 0.0070 | 0.146 |
Subjective norm | -0.0038 | 0.0092 | 0.682 |
Number of obs = 362 Wald chi2(14) = 106.90 Prob > chi2 = 0.000 Pseudo R2 = 0.3862 Log pseudolikelihood = -146.75 |
Source: results from survey data (2021) ***significant at 1% ** significant at 5% *significant at 10%.