Table 3 |.

Hierarchical regression analysis predicting degree of intention to receive the COVID-19 vaccine while controlling for demographic characteristics (N = 337)

Predictors	Step 1			Step 2
	β	t	p	β	t	p
Demographics
Age in years	.15	3.00	.003*	.05	1.66	.097
Gender (cisgender male = 1)	.02	4.01	<.001*	.08	2.87	.004*
Education	.11	2.27	.024*	.04	1.55	.123
Political leaning	−.51	−8.98	<.001*	−.050	−1.37	.171
Religiosity	−.04	−.64	.526	.03	.78	.439
Race/ethnicity
White	.19	.84	.401	.21	1.66	.099
Black	.02	.10	.919	.13	1.28	.202
Latinx	.03	.34	.738	.06	1.10	.274
Asian	.12	.83	.407	.11	1.46	.145
American-Indian	.04	.53	.594	.00	.07	.948
Other	.07	.84	.404	.06	1.38	.170
More than one category	.00	−.04	.967	.05	.86	.391
Health Constructs
Health Belief Model
Susceptibility				.04	1.04	.299
Severity				.02	.46	.646
Benefits				.043	1.07	.284
Barriers				−.16	−3.12	.002*
Cues to action				.00	.03	.973
Theory of Planned Behavior
Attitudes				.44	6.50	<.001*
Subjective norms				.08	2.18	.030*
Perceived behavioral control				.01	.37	.712
Trust in approval process				.14	2.30	.022*
General vaccine attitudes				.05	1.33	.184
R2	0.314			0.784
R2 change	0.314			0.485
p-value	<.001*			<.001*

* p < .05.

Note: Data were collected on December 21, 2020.