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. 2021 Aug 11;16(8):e0255382. doi: 10.1371/journal.pone.0255382

Table 5. Mediation analyses with Complacency as the mediator and vaccination intention as the dependent variable (N = 1128).

Model 1 Model 2 Model 3 Indirect effect
Dependent variable Vaccination Intention Complacency Vaccination Intention
Paths c (total effect) a b and c’ (direct effect) a*b
Coefficient β p β p β p Indirect effect [95% BC-CI]
Predictors
Perceived risk of C-19: self 0.03 .33 -0.15 < .001 -0.03 .33 0.05 [0.03, 0.08]
Perceived risk of C-19: others 0.04 .13 -0.12 < .001 0.0003 .99 0.05 [0.02, 0.07)
Normative beliefs 0.60 < .001 -0.33 < .001 0.49 < .001 0.12 [0.09, 0.15]
C-19 Infection -0.03 .24 0.06 .02 -0.01 .76 -0.05 [-0.11, -0.003]
Risk attitude -0.07 .003 0.15 < .001 -0.02 .40 -0.05 [-0.08, -0.03]
Delay discounting -0.02 .47 0.09 < .001 0.01 .51 -0.03 [-0.05, -0.01]
Control variables
Female (= 1) -0.05 .08 -0.04 .18 -0.06 .01
Belgium dummy (= 1) 0.02 .60 -0.11 .003 -0.02 .49
Portugal dummy (= 1) -0.01 .75 -0.15 < .001 -0.06 .05
Mediator
Complacency -0.35 < .001
R2 0.38 0.23 0.48

Note: The indirect effects that are bold printed do not contain zero in their 95% bias-corrected confidence intervals (95% BC-CI) and are interpreted as being statistically significant. β is a standardized coefficient. The indirect effect is completely standardized for continuous variables and partially standardized for binary variables.