Table 2.
Clustering Analysis 1-Clustering based on social media, news source, trust questions
| Clusters | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| Summary of description (on average) |
-Low social media use. -Use TV for news -Have trust in health authority. -Low effect of social influence on public health behaviour choices |
-Use social media also use it for news. -Lower trust on health authorities -Lower effect of social influence except distancing and staying home while sick |
-Use social media but not for news. -Lower trust on health authorities -Good effect of social influence except on use of app |
-Use social media also for news -Have trust in health authorities -Higher effect of social influence |
| Downloaded an app (%) | 0 | 12 | 11 | 24 |
| Accept a vaccine (%) | 30 | 15 | 25 | 50 |
| Age | ||||
| 1: < 30 | 4.78 | 2.29 | 2.57 | 2.26 |
| 5: + 60 | ||||
| Reason for no download: Privacy concern in app (%) | 35 | 23 | 7 | 20 |
| Reason for no download: No need in app (%) | 35 | 11 | 7 | 13 |
| Reason for no download: Lack of awareness (%) | 21 | 35 | 57 | 26 |
| Risk and Time preference | More likely to accept a lower risk/sooner payoff | Medium level of risk and time preference | Medium level of risk and time preference | More likely to accept a higher risk/later payoff |
| How often do you: | ||||
| 1:Rare, 3:Always | ||||
| Physical distance | 2.9 | 2.8 | 2.8 | 2.9 |
| Use a mask | 2.9 | 2.3 | 2.5 | 2.8 |
| Stay home if sick | 3 | 2.9 | 2.5 | 2.9 |
| Use contact tracing/exposure notification app | 1 | 1.5 | 1.6 | 1.7 |
| Avoid bars, clubs, nightclubs and lounges | 1.35 | 1.3 | 1 | 1.3 |
| Confident keeping you/family safe: Yes = 1. No = 2 | 1.57 | 1.4 | 1.35 | 1.8 |
| Concern of getting COVID-19 1 very, 4: none | 2.35 | 3 | 3.3 | 2.46 |
| Observation count | 14 | 17 | 14 | 15 |
Below are the means across clusters developed from the data (four clusters, minimizing distance)