Imagine you are a state-level health policy maker interested in health care access. You want to identify geographic areas and ethnic communities that are underserved to be able to correct problems and ensure fair access. You can only use archival data for your study. What data do you need for your study? What variables will you use? Do you expect any difficulties in obtaining those data? Why or why not? What kind of design would you use? Why? What parametric and nonparametric statistical tests can you use to obtain the information you need? Explain.
Now, imagine you are the CEO of a large hospital. You are interested in reducing turnover among nurses. You wish to find out to what extent nurses’ turnover intention is related to their overall job satisfaction, their average number of hours worked per week and their level of professional stress. You plan a correlational study, administer an anonymous survey, and collect interval data for all four variables. What parametric and nonparametric statistical tests can you use to analyze the data?
