Fig 1.
Results of a structural equation model explaining compliance with Covid-19 measures during the first lockdown in Switzerland.
Note: N = 493. All reported coefficients are unstandardized and statistically significant at least at the 5% level [1].
Fig 2.
Acceptance of Covid-19 measures during the first and second lockdowns.
Note: N = 364. Results for respondents who participated in both waves. Each measure was surveyed via five-point Likert scales ranging from “do not support at all” (1) to “support very much” (5). The figure displays the proportion of respondents supporting a measure weakly or strongly (categories 4 and 5).
Fig 3.
Adherence to social distancing measures during first and second lockdowns.
Note: N = 364. Results for respondents who participated in both waves. Adherence was surveyed via five-point Likert scales, and the number of people met in the last 7 days. The figure displays the proportion of respondents, who stayed at home “mostly” or “strictly” (categories 4 and 5), the proportion of respondents, who “rarely” or “never” made exceptions (categories 4 and 5), and the average number of people met. The differences between the first and second wave are all statistically significant.
Fig 4.
A structural equation model of compliance with the coronavirus distancing measures.
Note: N = 364. All reported coefficients are unstandardized and statistically significant at least at the 5%-level.
Fig 5.
A test of the assumed causal structure via structural equation modeling.
Note: N = 364. All reported coefficients are standardized and statistically significant at least at the 5%-level. Included control variables are individual risk, social risk, household risk, descriptive norm, trust in politics, prosocial, gender, and social desirability.
Table 1.
Two-way fixed effects panel regression on the change of complying with social distancing measures.