# Week 7 – assignment: conduct a comparative analysis of non-parametric

Instructions

For this assignment, you first will identify a topic of interest that you might want to pursue research. You are not tied to this topic when you reach the dissertation sequence, but it should be a topic that you find interesting now and also relates to your program and specialization.

Next, conduct a literature search using the NCU library to locate two studies examining your selected topic and in which the researchers used non-parametric statistics. In your search for articles, you should use any combination of the term “non-parametric” as well as the different tools discussed in this week’s lesson (e.g., Wilcoxon, Kruskal-Wallis, Spearman, Friedman, etc.).

Once you have located your articles, you will prepare a short paper using the following format:

· Introduction to the selected topic of interest

· Brief summary of first article

o Include research question, statistical test(s), and general findings.

· Brief summary of second article

o Include research question, statistical test(s) and general findings.

· Synthesis

o Specifically, compare and contrast the two articles, assessing the types of statistical methods and analysis used.

· Conclusion

o Assess what approach you might take if you were to conduct a study in this topic area.

Length: 3 to 5 pages not including title page and reference page.

References: Include a minimum of 3 scholarly resources.

Your paper should demonstrate thoughtful consideration of the ideas and concepts presented in the course and provide new thoughts and insights relating directly to this topic. Your response should reflect scholarly writing and current APA standards. Be sure to adhere to Northcentral University’s Academic Integrity Policy.

References

Knapp Ph.D., H. (Academic). (2016). Correlation and Regression – Spearman[Video]. SAGE Research Methods Video

Introduction to Business Statistics (7th ed.)

NCU School of Business Best Practice Guide for Quantitative Research Design and Methods in Dissertations

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