Table 4.

Study 2B model predicting prejudice

Predictors	Prejudice
	Estimates	CI	P
(Intercept)	4.47	4.36 to 4.57	<0.001
County population	0.01	−0.01 to 0.03	0.257
County median age	0.02	0.01 to 0.03	<0.001
County median income	0.01	−0.00 to 0.02	0.244
County percent female	−0.02	−0.02 to −0.01	0.001
County percent White	0.12	0.06 to 0.17	<0.001
County percent Black	0.07	0.03 to 0.11	0.001
County percent Asian American	0.05	0.03 to 0.08	<0.001
County percent race other	0.03	0.01 to 0.05	0.001
County percent Hispanic	−0.06	−0.08 to −0.05	<0.001
County per capita police killings	0.01	−0.00 to 0.02	0.212
County per capita police killings of African Americans	−0.00	−0.01 to 0.00	0.183
Gender D1: Male vs. female	0.33	0.28 to 0.38	<0.001
Gender D1: Male vs. other	−0.50	−0.55 to −0.45	<0.001
Age	0.04	0.03 to 0.05	<0.001
Education	0.05	0.04 to 0.05	<0.001
Employment	−0.00	−0.01 to 0.01	0.943
Feeling thermometer White	−1.32	−1.32 to −1.31	<0.001
Protest type D1 (nonviolent vs. no protests)	0.88	0.53 to 1.23	<0.001
Protest type D2 (nonviolent vs. violent and nonviolent protests)	0.28	0.14 to 0.43	<0.001
Trump vote share	−0.01	−0.21 to 0.18	0.903
Political ideology	−0.13	−0.15 to −0.11	<0.001
Protest type D1 × Trump vote share	−1.24	−1.79 to −0.70	<0.001
Protest type D2 × Trump vote share	−0.52	−0.84 to −0.20	0.001
Protest type D1 × political ideology	−0.16	−0.24 to −0.09	<0.001
Protest type D2 × political ideology	−0.04	−0.07 to −0.02	0.001
Trump vote share × political ideology	−0.02	−0.06 to 0.01	0.200
Protest type D1 × Trump vote share × political ideology	0.24	0.12 to 0.35	<0.001
Protest type D2 × Trump vote share × political ideology	0.08	0.03 to 0.14	0.005
Random effects
σ2	1.66
T00 countyfips	0.00
ICC	0.00
Ncountyfips	2,448
Observations	180,480
Marginal R2/conditional R2	0.516/0.517

Bold effects indicate statistical significance at P < .05