Table 5.

Robustness Check

	Unexponentiated Coefficients
	Conservatives	Non-conservatives
Robustness Check for Model 1 Ordered Logit Model of Predicting Political Ideology
Degree of COVID-19 Threat	0.080 (0.096)	0.216** (0.080)
Control Variables	Included	Included
Observations	423	788
Robustness Check for Model 2 Predicting Support for Travel Ban
Option A: Ordered Logit Model
Conservative	0.721*** (0.132)
Control Variables	Included
Observations	1211
Option B: Multinomial Logit Model (1 = Screening as reference, 2 = Ban as Outcome)
Conservative	0.749*** (0.139)
Control Variables	Included
Observations	1211
Robustness Check for Model 3
KHB Method of Estimating the Indirect Effect of Degree of COVID-19 Threat on Support for Travel Ban Through Political Ideology
Option A: Ordered Logit Model
Indirect Effect	−0.009 (0.012)	−0.029* (0.015)
Control Variables	Included	Included
Observations	423	788
Option B: Multinomial Logit Model (1 = Screening as reference, 2 = Ban as Outcome)
Indirect Effect	−0.011 (0.014)	−0.031* (0.016)
Control Variables	Included	Included
Observations	423	788

Note: Multiple imputation (200 imputations) is used to handle missing data

Standard errors in parentheses.

^†<0.1, * < 0.05, ** < 0.01, *** < 0.001