N758 / N758PE / N 758 / N758 PE N758 Advanced Statistics Module 4 Assignment Statistical Procedures: Complete all the statistical procedures for Chapter 16. Note the different data files you will use to complete all the nonparametric tests in Chapter 16 for this assignment! While switching back and forth from data files may seem tedious, there is a logical reason for having you do these tests in this order, as the tests progress from basic to complex. Open the survey.sav data file and complete the procedures for Chi-Square Test for Goodness of Fit and the Chi-Square Test for Independence in Chapter 16. Open the experim.sav data file and complete the procedures for McNemars and Cochrans Q test. Open the depress.sav data file and complete the procedures for Kappa Measure of Agreement. Open the survey.sav and complete the procedures for the Mann-Whitney test. Open the experim.sav and complete the Wilcoxon Signed Rank Test. Open the survey.sav and complete the procedures for the Kruskal-Wallis Test. Open the experim.sav and complete the procedures for the Friedman Test. All additional exercises require a written analysis that should be included at the end of your word/RTF file. When available utilize templates for presenting statistics Presenting the Results boxes found in Pallant (2020). For credit to be given, all SPSS output from chapter procedures and additional exercises must be exported and included in the word document. Addiional Exercises: Additional exercises will require you to use the procedure you have practiced from chapter 16. Complete assignment in Sentinel Health DataLabTM Log in to Sentinel World in the welcome module of this course to access the Sentinel Health DataLab. Login with: You are a Chief nursing officer and have been assigned the task to Determine if there is a relationship between HCAPHS Summary Star Ratings for acute care hospitals located in the West and Southeast. Determine if there is a difference in number of Heart Failure Eligible Discharges between hospitals in the west and southeast Determine if there is a difference in % Heart Failure Readmission Rates between acute care hospitals located in 5 different regions of the United States Utilize data from 2016 Research Question 1: Is there a relationship between HCAPHS Summary Star Ratings for acute care hospitals located in the West and Southeast? Hypotheses: H1: There is a relationship between HCAPHS Summary Star Ratings for acute care hospitals located in the West and Southeast. H0: There is not a relationship between HCAPHS Summary Star Ratings for acute care hospitals located in the West and Southeast. Research Question 2: Is there a difference in number of Heart Failure Eligible Discharges between hospitals in the west and southeast? Hypotheses: H1: There is a difference in number of Heart Failure Eligible Discharges between hospitals in the west and southeast. H0: There is not a difference in number of Heart Failure Eligible Discharges between hospitals in the west and southeast. Research Question 3: Is there a difference in % Heart Failure Readmission Rates between acute care hospitals located in 5 different regions of the United States? Hypotheses: H1: There is a difference in % Heart Failure Readmission Rates between acute care hospitals located in 5 different regions of the United States. H0: There is not a difference in % Heart Failure Readmission Rates between acute care hospitals located in 5 different regions of the United States. For this assignment: You will be using two different codebooks for this assignment. You will need to filter data as you did in N755PE to assure you have the correct data for the analysis. If needed, recode categorical (nominal) data as you learned in N755PE prior to entering the spreadsheet into SPSS for analysis. For part 1 of the assignment, gather the HCAPHS Summary Star Ratings and the Heart Failure Eligible Discharges from the quality overview from the acute care centers in the west and southeast and place the data in the Assignment 4 part 1 excel codebook in the Data Recorded Tab. Enter the excel spreadsheet into SPSS. Make sure you label variables (Pallant Chapter 4) in SPSS according to the metadata tab. Typically, at this point you would run normality statistics, but for this assignment we will assume data is not normally distributed and does not meet the assumptions for a parametric test. To answer the first research question run a Chi-Square test for independence. To answer the second research question run a Mann Whitney U Test. For part 2 of the assignment, gather the % Heart Failure Readmission Rates from the quality overview from all 40 of the acute care centers and place the data in the Assignment 4 part 2 excel codebook in the Data Recorded Tab. Enter the excel spreadsheet into SPSS. Make sure you label variables (Pallant Chapter 4) in SPSS according to the metadata tab. Typically, at this point you would run normality statistics, but for this assignment we will assume data is not normally distributed and does not meet the assumptions for a parametric test. To answer the third research question run a Kruskal Wallis. Write up all the analyses using the template presented in your textbook. At the end of the analyses, answer the research questions and accept or reject the null hypothesis. Make sure analyses are APA formatted and that you are following APA rounding rules.
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