Table 1.

Summary of Moderated Mediation Models.

Predictor	Carelessness (Mediator)	Insight Thinking	Analytical Thinking	Total Score
Manipulation	.13** [.04, .22]	−.02 [−.11, .07]	−.03 [−.12, .06]	−.04 [−.12, .05]
Sex	−.18 [−.36, .01]	−.14 [−.32, .03]	−.15 [−.33, .03]	−.18* [−.36, −.01]
Manipulation x Sex	−.20* [−.38, −.01]	.17 (p = .06) [−.01, .35]	.21* [.03, .39]	.22* [.04, .40]
Carelessness	--	−.32*** [−.41, −.23]	−.27*** [−.36, −.18]	−.31*** [−.40, -.22]
Carelessness x Sex	--	−.02 [−.20, .16]	.06 [−.12, .24]	.04 [−.14, .22]
Conditional Indirect effects: Manipulation-Carelessness-DV
Men	−.07* [−.13, −.03]		−.07* [−.12, −.03]	−.08* [−.13, −.03]
Women	−.01 [−.06, .03]		−.01 [−.04, .02]	−.01 [−.05, .03]
Moderated Mediation	.06 [−.001, .13]		.06* [.01, .12]	.07* [.01, .13]

Note. All continuous variables: dependent variables and carelessness (mediator) were z-transformed before analysis to facilitate interpretability, therefore they could be interpreted as standardized regression coefficients (βs), while the effects of dichotomous variables (manipulation and sex) could be interpreted as Cohen’s ds. Manipulation coded −1 = control, 1 = coronavirus, sex coded 0 = men, 1 = women (centered for analyses).

^*p < .05.

^**p < .01.

^***p < .001.