Table 2.
Factor loadings of the observed variables in Promax rotation (pattern matrix), descriptive statistics, and reliability of factors (N = 1955).
| Factor | |||
|---|---|---|---|
| 1 | 2 | 3 | |
| Item 1. I could die from the disease | 0.822 | ||
| Item 2. My close social partners may die from the disease | 0.623 | ||
| Item 3. COVID-19 may seriously damage my physical health (e.g., lung function) | 0.853 | ||
| Item 4. The treatment for COVID-19 may have side-effects which may seriously damage my long-term physical health | 0.715 | ||
| Item 5. Treatment costs may become a financial burden for me | 0.366 | ||
| Item 6. This Coronavirus pandemic may create a financial burden for me | 0.723 | ||
| Item 7. I may lose my job under this Coronavirus pandemic | 0.703 | ||
| Item 8. This Coronavirus pandemic may result in negative socio-economic conditions | 0.807 | ||
| Item 9. This Coronavirus pandemic may create a prolonged and severe effect on the economy of the country | 0.785 | ||
| Mean (range 1–4) | 2.99 | 3.58 | 2.82 |
| SD | 0.64 | 0.56 | 0.69 |
| Cronbach’s alpha | 0.834 | 0.798 | 0.652 |