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

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

Predictor B SE (B) βa Wald χ2 p 95% CI (B)
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) βa t p 95% CI (B)
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
  1. * p < 0.05
  2. 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