Table 1.
Respondent demographics.
Table 2.
Item loadings for a forced single-factor model for general attitudes to easing COVID-19 restrictions items using Principal Axis Factoring.
Table 3.
Item loadings for a forced single-factor model for specific attitudes to easing COVID-19 restrictions items using Principal Axis Factoring.
Table 4.
Item loadings for a forced single-factor model for COVID-19 conspiracy theories using Principal Axis Factoring.
Table 5.
Item loadings for a forced single-factor model for indulgence using Principal Axis Factoring.
Table 6.
Item loadings for a forced three-factor model for perceptions of risk using Principal Axis Factoring.
Table 7.
Item loadings for a forced two-factor model for adherence to COVID-19 restrictions using Principal Axis Factoring.
Table 8.
Descriptive data for measures.
Table 9.
Pearson’s correlation coefficients between variables.
Table 10.
Multiple regression for predicting attitudes to easing COVID-19 restrictions for demographic factors.
Table 11.
Multiple regression for predicting attitudes to easing COVID-19 restrictions for political views.
Table 12.
Multiple regression for predicting attitudes to easing COVID-19 restrictions for experiences.
Table 13.
Multiple regression for predicting attitudes to easing COVID-19 restrictions for cultural dimensions.
Table 14.
Multiple regression for predicting attitudes to easing COVID-19 restrictions for individual differences factors.
Fig 1.
Significant predictors of greater support for easing COVID-19 restrictions for general and specific attitudes.