Table 3.

Results of Study 1b regression analysis using threat associated with police officers and Black men to predict support for policing policy reform items.

	Police officers					Black men					Adjusted R2
	β	B	SE	p	${\eta }_p^2$	β	B	SE	p	${\eta }_p^2$
Scrutiny (a)											−0.019
(b)	0.31	0.44	0.08	<0.001	0.10*	−0.16	−0.28	0.10	0.005	0.03*	0.120
(c)	0.34	0.49	0.09	<0.001	0.12*	−0.18	−0.32	0.11	0.004	0.03*	0.129
Cameras (a)											−0.012
(b)	−0.19	−40.21	0.07	0.002	0.04*	0.04	0.05	0.08	0.526	0.00	0.031
(c)	−0.19	−0.21	0.07	0.003	0.04*	0.04	0.06	0.09	0.481	0.00	0.020
Demographic matching (a)											−0.002
(b)	0.20	0.21	0.06	0.001	0.04*	−0.13	−0.17	0.08	0.034	0.02*	0.053
(c)	0.23	0.25	0.07	<0.001	0.06*	−0.16	−0.21	0.09	0.016	0.02*	0.073
Lethal force justified (a)											0.044
(b)	−0.24	−0.46	0.11	<0.001	0.06*	0.17	0.40	0.14	0.003	0.03*	0.087
(c)	−0.24	−0.46	0.12	<0.001	0.06*	0.16	0.38	0.15	0.010	0.03*	0.125

Model 1 (a) includes only the demographic covariates (age, race, ethnicity, and gender), model 2 (b) contains only the threat measures, and model 3 (c) includes threat measures, controlling for demographic covariates. Statistically significant (p < 0.05) effects are indicated by an asterisk.