1. describe the data displayed in the bar graph(co sider class, size, class width, total frequency, list of frequencies, class consistency, explanatory variables, response variables, shapes of distribution etc.,)

2. Draw a conclusion about the data from the graph distribution in the context of the article.

3.How else might this data have been displayed? Discuss the pros and cons of 2 other presentation options such as tables or sifferent graphical displays. Why do you think those two other presentation option were not used?

 

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60% 50% 40% 30% 20% 10% 0% 47-57%* (95% CI) 52% Percentage of Clinicians and Staff Identified as Having High Burnout 40-50%* (95% CI) 45% MBI Exhaustion MBI Or Cynicism 29-38% (95% CI) h 34% 25-33% (95% CI) 29% MBI Self-Defined Exhaustion Cynicism Single Item 42-50%* (95% CI) 46% 34-42%* (95% CI) 38% MBI Exhaustion MBI Or Exhaustion Cynicism Clinicians Difference compared to self-defined single item is statistically significant (McNemar's test, p<0.001) 29-37% (95% CI) 28-35% (95% CI) Staff 33% MBI Self-Defined Cynicism Single Item 31% Figure 1 High burnout based on MBI subscales and the self-defined burnout measure. 60% 50% 40% 30% 20% 10% 0% 47-57%* (95% CI) 52% Percentage of Clinicians and Staff Identified as Having High Burnout 40-50%* (95% CI) 45% MBI Exhaustion MBI Or Cynicism 29-38% (95% CI) h 34% 25-33% (95% CI) 29% MBI Self-Defined Exhaustion Cynicism Single Item 42-50%* (95% CI) 46% 34-42%* (95% CI) 38% MBI Exhaustion MBI Or Exhaustion Cynicism Clinicians Difference compared to self-defined single item is statistically significant (McNemar's test, p<0.001) 29-37% (95% CI) 28-35% (95% CI) Staff 33% MBI Self-Defined Cynicism Single Item 31% Figure 1 High burnout based on MBI subscales and the self-defined burnout measure.

Answer rating: 100% (QA)

Answer 1 The bar graph displays the percentage of clinicians and staff identified as having high burnout on the MBI subscales and the selfdefined burn... View the full answer