Assignment for Module 7
Chi-Square Test and Nonparametric Tests (20 pints)
You must copy and paste your completed assignment into a single Word Document. Label as your assignment with your last name and the module number (Example: Montgomery_Module7)
Read the instructions carefully before beginning to work.
Data Description
In the assignment for Module 6, we analyzed the primary outcomes from an RCT evaluating three treatments for men older than 65 years of age and with OAB. In this assignment, we will continue to use the same data from the same research trial to answer different research questions.
Part I. Chi-Square test (6 points).
At the end of this trial, the participants were surveyed. Two of the questions in the survey were 1) “Are you satisfied with the treatment you received?” and 2) “Will you suggest the treatment you received to others?”. The answer for both questions is either ‘Yes’ or ‘No’, and are stored in a file called ‘HW_Chi.sav’ as variables called sat and suggestion, respectively. I will use the variable called sat as the example in our live virtual classroom assignment demonstration and you will analyze the variable called suggestion in your assignment. The analysis will determine if the three treatment groups significantly differ in their responses to the question, “Will you suggest the treatment you received to others?”.
1. A Chi-Square test can be used to test the association between two categorical variables, Group, and suggestion. Write down the null and alternative hypotheses (1 point).
2. Generate a 3 X 2 contingency table with Group in the rows and suggestion in the columns (1 point).
3. Generate and explain a clustered bar chart depicting the results (1 point).
4. Report the p value and state the hypothesis resolution (1 point).
5. Document your results (1 point).
Part II. Nonparametric methods (14 points).
After the primary analysis, researchers conducted a subgroup analysis regarding the treatment effect. This subgroup analysis only included patients with age greater than 70, leading to a smaller sample size in each group (n<30). The two outcomes were still 24 hours-voiding frequency and quality of life (QOL) score measured at baseline, and 6 weeks after the intervention. Because of the small sample size, nonparametric methods are preferred. The subgroup data were organized in three SPSS datasets: ‘HW_Mann_Whitney.sav’, ‘HW_Kruskal_Wallis.sav’, and ‘HW_Wilcoxon_Signed_rank.sav’. In the live classroom assignment demonstration, I will use 24 hours-voiding frequency as the example. In your homework, you are required to analyze the QOL score.
Part II a. Mann Whitney U test (4 points)
For this part of the assignment, you will compare the quality of life (QOL_post) between patients (older than 70 years only) in the drug treatment group and patients in the drug + behavior treatment group after a 6-week treatment. The data to be used for this part of the assignment are saved as ‘HW_Mann_Whitney.sav’.
1. A nonparametric Mann Whitney U test will be used to compare the two independent means. Write down the null and alternative hypotheses (1 point).
2. Provide descriptive statistics for QOL after treatment (QOL_post) (1 point).
3. Report the p value and state the hypothesis resolution (1 point).
4. Document your results (1 point).
Part II b. Kruskal-Wallis test (6 points).
For this part of the assignment, you will compare the post-treatment quality of life (QOL_post) for the patients (older than 70 years) with LUTS across all three treatment groups: drug treatment, behavior treatment, and drug + behavior treatment. The data to be used for this part are located in a file called ‘HW_Kruskal_Wallis.sav’.
1. A nonparametric Kruskal-Wallis test will be used to compare three independent means. Write down the null and alternative hypotheses (1 point).
2. Provide descriptive statistics for QOL after treatment (QOL_post) (1 point).
3. Report the p value and state the hypothesis resolution (1 point).
4. Report the post hoc analysis (2 points).
5. Document your results (1 point).
Part II c. Wilcoxon Signed Ranks Test (4 points).
For this final section of the assignment, you must evaluate whether the quality of life increased after the treatment, for the patients (older than 70 years) in the drug + behavior treatment group only. The data to be used for this analysis are saved as ‘HW_Wilcoxon_Signed_rank.sav’.
1. A nonparametric Wilcoxon Signed Ranks Test will be used to compare the paired means. Write down the null and alternative hypotheses (1 point).
2. Provide descriptive statistics for QOL before (QOL_pre) and after treatment (QOL_post) (1 point).
3. Report the p value and state the hypothesis resolution (1 point).
4. Document your results (1 point).
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