summarize the following : Data were exported from survey software into SPSS (Statistical Package for the Social Sciences) Version 25 for analysis. To describe the sample, frequencies and percentages were calculated on the categorical variables, and mean and standard deviation were calculated for the continuous variables. The following assumptions were checked on the residuals of the data for each research question: lack of outliers, normality, independence, homoscedasticity, linearity, and multicollinearity. Because of lack of normality, square root transformations were taken on the Workplace Incivility Scale score for RQ1, and natural log transformations were taken on the digestive and respiratory PHQ subscale scores for RQ2. For RQ1, multiple linear regression was used to assess the relationship between 13 demographic variables and experiences with workplace incivility. Because of known moderate correlation of the five outcome variables (Schat et al., 2005), a hierarchical multivariate multiple regression analysis was used for RQ2 to assess the relationships between workplace incivility and the five health outcomes. In the first step, the workplace incivility score was entered as the independent variable, with the five outcome variables (sleep disturbances, digestive problems, headaches, respiratory problems, and psychological well-being) as the dependent variables. In the second step, 13 demographic covariates were added to the model to assess any changes in the slope esti