Table 2.

Results of Study 1a 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)											0.005
(b)	0.30	0.50	0.11	<0.001	0.10*	−0.15	−0.40	0.18	0.023	0.02*	0.119
(c)	0.29	0.48	0.11	<0.001	0.08*	−0.14	−0.38	0.18	0.041	0.02*	0.111
Cameras (a)											0.085
(b)	−0.06	−0.10	0.11	0.354	0.00	0.03	0.08	0.18	0.681	0.00	−0.004
(c)	−0.07	−0.12	0.11	0.287	0.01	0.03	0.09	0.18	0.595	0.00	0.083
Demographic matching (a)											0.034
(b)	0.29	0.26	0.08	0.001	0.05*	−0.06	−0.12	0.12	0.317	0.01	0.053
(c)	0.26	0.23	0.08	0.004	0.04*	−0.07	−0.13	0.13	0.290	0.01	0.074
Lethal force justified (a)											0.010
(b)	−0.13	−0.30	0.15	0.051	0.02	0.24	0.89	0.25	<0.001	0.06*	0.074
(c)	−0.12	−0.28	0.16	0.077	0.02	0.24	0.90	0.26	<0.001	0.06*	0.081

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.