The analyses involved two steps. First, we conducted preliminary analyses, including calculating descriptive statistics and examining group differences between nurses who treated patients with confirmed COVID-19 and those who have not. The second step of the analyses included a series of hierarchical multiple regressions, one for each outcome, that included education, years worked as a nurse, the average number of hours worked, access to adequate PPP, past COVID-19 diagnosis (step 1), work with patients with COVID-19, resilience, social support (step 2), and the interactions of work with patients with COVID-19 by resilience and work with patients with COVID-19 by social support (step 3). Hierarchical multiple regressions allow for the simultaneous examination of how several predictors are related to the outcome variable while also considering how the predictors are related to one another. In addition, this approach estimates the associations among study variables while controlling for predictors in earlier steps.
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