Table 3.

Regression model results with average (general) uncertainty perceptions, n = 303

Variable	b	2.5% CI	97.5% CI	t− value	p−value	partial η2
Outcome: trust in COVID− 19 information1
Perceived uncertainty (general)	0.028	− 0.108	0.163	0.401	0.689	.001
Tolerance of risk	0.002	− 0.167	0.172	0.027	0.978	< .001
Tolerance of ambiguity	− 0.095	− 0.259	0.069	− 1.139	0.256	.005
Tolerance of complexity	0.108	− 0.062	0.277	1.252	0.212	.006
Outcome: vaccine intentions2
Perceived uncertainty (general)	0.006	− 0.192	0.204	0.059	0.953	< .001
Tolerance of risk	− 0.258	− 0.506	− 0.011	− 2.054	0.041*	.015
Tolerance of ambiguity	− 0.280	− 0.520	− 0.039	− 2.290	0.023*	.018
Tolerance of complexity	0.124	− 0.123	0.372	0.989	0.323	.003
Outcome: preferences for further vaccine testing3
Perceived uncertainty (general)	0.135	− 0.077	0.347	1.252	0.211	.006
Tolerance of risk	− 0.022	− 0.288	0.243	− 0.167	0.867	< .001
Tolerance of ambiguity	0.487	0.230	0.744	3.725	< .001***	.047
Tolerance of complexity	0.003	− 0.262	0.268	0.021	0.983	< .001

¹R² for all uncertainty predictors = .01

²R² for all uncertainty predictors = .03

³R² for all uncertainty predictors = .06

Models control for political affiliation, race, age, gender, region, education, and essential worker status. Perceptions of uncertainty = average perceptions of uncertainty across uncertainty subtype. ***p < .01, **p < .01, *p < .05