Table 3.
Descriptive Statistics and Determination of the Factors that Affect Positive Attitudes Based on Demographic Characteristics.
| COV_19_ Positive Attitude | |||
|---|---|---|---|
| Mean * ± SD | p | ||
| TOTAL | 3.69 ± 0.95 | ||
| Age group | <35 | 3.69 ± 0.93 | 0.615 |
| ≥35 | 3.72 ± 0.93 | ||
| Gender | Male | 3.79 ± 0.83 | 0.022 |
| Woman | 3.65 ± 0.98 | ||
| Marital status | Single/separate/divorced | 3.65 ± 0.98 | 0.691 |
| Married | 3.69 ± 0.94 | ||
| Level of education | Literate/primary/secondary School | 3.69 ± 0.9 | 0.491 |
| High school | 3.69 ± 0.9 | ||
| University | 3.64 ± 1 | ||
| Master’s/PhD | 3.82 ± 1.14 | ||
| Family’s monthly income | TRY 4000 | 3.73 ± 0.9 | 0.644 |
| TRY 4000–6000 | 3.67 ± 0.96 | ||
| TRY 6000–8000 | 3.6 ± 0.94 | ||
| TRY 8000–10,000 | 3.69 ± 0.97 | ||
| TRY 10,000 | 3.67 ± 1.09 | ||
| Delayed/missed child’s vaccinations | Yes | 3.53 ± 0.95 | 0.302 |
| No | 3.69 ± 0.95 | ||
| Infected with COVID-19 | Yes | 3.75 ± 0.91 | 0.081 |
| No | 3.65 ± 0.96 | ||
| Family member being infected with COVID-19 | Yes | 3.77 ± 0.89 | 0.007 |
| No | 3.62 ± 0.99 | ||
| Dead family member because of COVID-19 | Yes | 3.6 ± 1.07 | 0.286 |
| No | 3.7 ± 0.93 | ||
| Vaccinated with COVID-19 vaccine | Yes | 3.69 ± 0.97 | 0.866 |
| No | 3.68 ± 0.83 | ||
| COVID-19 vaccine side effect | Yes | 3.67 ± 0.99 | 0.849 |
| No | 3.71 ± 0.87 | ||
| Impact of social media COVID-19 vaccine | Yes | 3.48 ± 1.12 | 0.002 |
| No | 3.73 ± 0.91 | ||
| Social media platform for vaccine information | İnstagram | 3.51 ± 1.09 b* | 0.001 |
| 3.46 ± 1.13 b | |||
| 3.97 ± 0.46 a | |||
| 3.23 ± 1.15 b | |||
| Other | 3.57 ± 1.04 b | ||
| Impact of social media child’s vaccination | Yes | 3.45±1.07 | 0.007 |
| No | 3.71 ±0.92 | ||
| PACV group | Non-Hesitant | 3.77 ± 0.9 | 0.001 |
| Hesitant | 2.84 ± 0.97 | ||
Mean ± SD: Average, standard deviation. * p < 0.05; Analysis of variance; a,b Different letters represent the difference between groups (Tukey test). * YouTube, Google, Web, etc.