Table 3.

Associations between threat variables and prevention intentions in Studies 1 and 2. We report results from regressions predicting prevention intentions as a function of our threat variables. Shown are results from (i) a set of separate regression models for each threat variable (Column 1) and (ii) multiple regression models using both threat variables (Columns 2–3), for Study 1 (top rows) and Study 2 (bottom rows). We show results from multiple regression models both with and without controls for age, gender, education (coded here and in all analyses as a college degree dummy), income, and political party affiliation. All coefficients are standardized coefficients, with standard errors for each coefficient in parentheses. For each model, we also report results from a test comparing the public versus personal threat coefficient.

	Separate models	Multiple regression	Multiple regression with controls
Study 1 (n = 988)
Personal threat	0.412***	0.0730	0.0890*
	(0.0290)	(0.0393)	(0.0398)
Public threat	0.522***	0.469***	0.451***
	(0.0272)	(0.0393)	(0.0394)
Public vs. Personal comparison	t(985) = 5.40, p < 0.001	F(1,985) = 29.59, p < 0.001	F(1,980) = 24.05, p < 0.001
Study 2 (n = 1188)
Personal threat	0.401***	0.0652*	0.0843**
	(0.0266)	(0.0332)	(0.0325)
Public threat	0.540***	0.496***	0.498***
	(0.0244)	(0.0332)	(0.0326)
Public vs. Personal comparison	t(1185) = 7.02, p < 0.001	F(1,1185) = 50.31, p < 0.001	F(1,1180) = 48.25, p < 0.001

Standard errors in parentheses.

***p < 0.001, **p < 0.01, *p < 0.05.