Table 3.
Associations of sociodemographic, study-related, psychological, health-related, and communication-related factors with the intention to get vaccinated against COVID-19 among unvaccinated university students in the summer of 2021.
| β | T | p | |
|---|---|---|---|
| Sociodemographic and study-related factors | |||
| Field of study (with medicine coded high) | − .04 | 1.19 | .236 |
| Health-related factors | |||
| Global interest in common vaccinations | − .02 | 0.56 | .576 |
| Psychological factors | |||
| Confidence | .35 | 7.83*** | < .001 |
| Complacency | − .18 | 3.81*** | < .001 |
| Constraints | .07 | 2.29* | .023 |
| Calculation | − .02 | 0.72 | .470 |
| Collective Responsibility | − .34 | 7.95*** | < .001 |
| Communication-related factors | |||
| Media trust | |||
| General media trust | .10 | 2.33* | .020 |
| Topic-specific media trust | − .05 | 1.07 | .287 |
| Public broadcasting (including online outlets) | − .07 | 1.52 | .131 |
| Private broadcasting (including online outlets) | − .06 | 1.49 | .138 |
| National quality press (including online outlets) | − .06 | 1.37 | .173 |
| Regional press (including online outlets) | .10 | 2.75** | .006 |
| Tabloid media (including online outlets) | − .01 | 0.14 | .890 |
| Alternative news media & blogs | .02 | 0.47 | .642 |
| Online messenger | .04 | 1.27 | .206 |
| Topic-specific trust in news sources | |||
| Federal government | − .01 | 0.10 | .922 |
| City government | − .02 | 0.40 | .687 |
| Foreign governments and authorities | − .04 | 0.99 | .324 |
| Political parties | − .00 | 0.09 | .927 |
| Individual politicians | .07 | 1.69 | .091 |
| WHO | − .03 | 0.59 | .554 |
| RKI | .14 | 2.74** | .007 |
| National commission on vaccination | .01 | 0.27 | .789 |
| National board of ethics | − .06 | 1.55 | .123 |
| Hospitals | − .04 | 1.01 | .315 |
| Doctors | .03 | 0.80 | .426 |
| Pharmacists | .04 | 0.89 | .374 |
| Nurses | .00 | 0.01 | .991 |
| Public health offices | .01 | 0.26 | .795 |
| Health insurance companies | .03 | 0.66 | .507 |
| Universities and scientific institutes | .06 | 1.27 | .205 |
| Local university | − .03 | 0.70 | .482 |
| Unions | .02 | 0.50 | .618 |
| Ordinary people known personally | − .05 | 1.41 | .158 |
| Ordinary people not known personally | − .02 | 0.49 | .628 |
| Intensity of general media use/information seeking | |||
| Online media | .03 | 0.90 | .368 |
| Topic-related information seeking | − .03 | 0.93 | .353 |
| Topic-related information seeking—Sources | |||
| Online news sites (with use coded high) | − .00 | 0.09 | .932 |
| COVID-19 warning app (with use coded high) | .07 | 2.02* | .044 |
| Government or agency websites (with use coded high) | .04 | 1.19 | .235 |
| University websites (with use coded high) | .05 | 1.70 | .090 |
Multiple linear regression analysis. F(42,291) = 21.32, p < .001, n = 334; Adjusted R2 = .719; Cohen’s f2 = 2.56.
*p < .05; **p < .01; ***p < .001.