In the present study, analyses were performed using the Statistical Program for Social Sciences (IBM SPSS Statistics for Windows, Armonk, NY, U.S.A.) Version 23 for Windows and SPSS Macro [37 ], applying Model 1 with 1000 bias-corrected bootstrap samples. Demographic characteristics of the sample were examined and Pearson’s correlations between variable were calculated. One-way analyses of variance (ANOVAs) were used to assess whether there were significant differences between the two groups (customer service group and administrative work group). Hierarchical multiple regression analyses were conducted to test whether ego-resiliency interacted with emotional labor to influence salivary cortisol levels and SPSS Macro was used to test the statistical significance of the relationship between emotional labor and cortisol levels at different levels of ego-resiliency in an interaction. We excluded the effect of demographic variables in testing models by controlling for gender, age and education level as covariates based on suggestions of previous studies [38 (link),39 (link)].
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