Final answer:
To assess the relationship between job satisfaction and turnover, a combination of descriptive and diagnostic analytics, including regression analysis and data visualization, would be employed.
Step-by-step explanation:
To determine if job satisfaction is related to turnover, you would use descriptive analytics to analyze the survey data and diagnostic analytics to establish a correlation between job satisfaction and turnover rates. Descriptive analytics would involve summarizing the survey data from the Federal Employee Viewpoint Survey to obtain a job satisfaction score. This score would be based on the responses to questions regarding employee's recommendation of the organization, overall job satisfaction, and satisfaction with the organization. Diagnostic analytics would involve looking for patterns or trends in turnover data and comparing it with job satisfaction scores to determine a correlation.
Statistical analysis methods such as regression analysis could be used to assess the strength and significance of the relationship between job satisfaction and turnover. In addition, data visualization techniques may help in presenting the relationship in a comprehensible manner to your boss.