“…Particularly, we calculated 95% confidence intervals of the indirect effects derived from bias-corrected bootstrap estimates with 5,000 iterations, which are significant at p = 0.05 if the 95% confidence interval does not include zero. We employed PROCESS to test our hypotheses because it is widely used in the social, business, and health sciences to estimate direct and indirect effects in single and multiple mediation models (e.g., Hayes and Scharkow, 2013 ; Baroudi et al, 2018 ). PROCESS generates all of the statistics calculations and implements bootstrapping in a way that facilitates inference about moderated and mediated effects ( Hayes and Scharkow, 2013 ; Hayes et al, 2017 ).…”