Table 1.
Reported demographic information in Study 1.
Fig 1.
The amount of stress and support of different COVID-19-related policies.
Error bars indicate 95% CIs. The answers to the questions about the level of stress and support for each policy were recorded on a scale between 0 and 100. A higher score indicates higher stress levels (in red) or stronger support for restrictive policies (in blue). The policies are ordered by the level of stress.
Fig 2.
Predicted values of the stress score for different values of financial loss, number of children, and stringency index.
95% confidence intervals are shown for predicted values where all other predictors are held constant, i.e., their mean values are used. Grey dots display the predicted data with the effects of all other predictors accounted for.
Table 2.
Regression coefficients for Model 1 and Model 2.
Fig 3.
Predicted values of the support score for different values of financial loss, number of children, media consumption, self-isolation, new COVID-19 cases, and gender.
95% confidence intervals are shown for predicted values where all other predictors are held constant, i.e., their mean values are used. Grey dots display the predicted data with the effects of all other predictors accounted for.
Fig 4.
Stress and support scores.
Fig 5.
Stress and support scores by employment and amount of financial loss due to COVID-19.
Fig 6.
Standardized regression coefficients for stress in groups with different level of stringency index.
Standardized regression coefficients with 95% CIs are shown. The confidence interval of the effect estimate should not overlap with zero for the effect to be considered statistically significant.
Fig 7.
Standardized regression coefficients for support of restrictive measures in groups with different level of stringency index.
Standardized regression coefficients with 95% CIs are shown. The confidence interval of the effect estimate should not overlap with zero for the effect to be considered statistically significant.
Table 3.
Regression coefficients for life satisfaction.
Table 4.
Daily survey items.
Fig 8.
Predicted values of the well-being score for different values of day, being outdoors at the moment, and communication (between- and within-subject deviations).
95% confidence intervals are shown for predicted values (marginal effects) conditioned on fixed and random effects. Grey dots display the raw data points.
Table 5.
Regression coefficients for well-being score.