Individual differences in susceptibility to false memories for COVID-19 fake news

Cognitive Research: Principles and Implications

Table 2 Regression coefficients for individual predictors of susceptibility to COVID-19 misinformation

Predictor	B	SE (B)	β^a	Wald χ²	p	95% CI (B)
Predictor	B	SE (B)	β^a	Wald χ²	p	Lower	Upper
False memory count
(Intercept)	− 1.136	0.32	0.32	12.90	< 0.001	− 1.76	− 0.52
Objective knowledge*	− 0.10	0.03	0.91	11.71	< 0.001	− 0.15	− 0.04
Perceived knowledge	0.07	0.05	1.07	2.42	0.12	− 0.02	0.16
Engagement	0.07	0.05	1.07	1.88	0.17	− 0.03	0.17
COVID-19 anxiety	0.02	0.02	1.02	1.03	0.31	− 0.02	0.07
CRT score*	− 0.08	0.02	0.92	16.61	< 0.001	− 0.12	− 0.04

	B	SE (B)	β^a	t	p	95% CI (B)
	B	SE (B)	β^a	t	p	Lower	Upper
True memory count
(Intercept)	1.30	0.16		8.34	< 0.001	0.99	1.61
Objective knowledge*	0.05	0.01	0.06	3.57	< 0.001	0.03	0.08
Perceived knowledge*	0.07	0.02	0.06	3.14	0.002	0.03	0.11
Engagement*	0.17	0.025	0.125	6.88	< 0.001	0.12	0.22
COVID-19 anxiety*	0.04	0.01	0.065	3.62	< 0.001	0.02	0.06
CRT score*	− 0.04	0.01	− 0.07	− 3.84	< 0.001	− 0.05	− 0.02

* p < 0.05
^aFor Poisson regressions (i.e. false memory count), β (Exp (B)) is given as 1 for no effect, with values > 1 for positive effects and < 1 for negative effects. For linear regressions (i.e. true memory count), β is given as 0 for no effect with values < 0 for negative effects and > 0 for positive effects