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Statistical Analyses In Nursing

To prepare:

Review the articles presented in this week’s Learning Resources and analyze each study’s use of nonparametric tests.

Critically analyze each article, considering the following questions in your analysis:

What are the goals and purpose of the research study each article describes?

How are nonparametric tests used in each study? What are the results of their use?

Why are parametric methods (t tests and ANOVA) inappropriate for the statistical analysis of each study’s data?

What are the strengths and weaknesses of each study (e.g., study design, sampling, and measurement)?

How could the findings and recommendations of each study contribute to evidence-based practice in the health care field?

Reflect on the quantitative statistical analyses presented throughout this course in the research literature, the Learning Resources, media presentations, and those articles you reviewed for your abbreviated research proposal.

Ask yourself: Which method is most commonly used in research studies that pertain to my area of nursing practice, and why this might be so?

TO COMPLTE

Post 1-2 PAGES PAPER ON : A cohesive response addresses the following:

Critically analyze each article, including the items noted above.

Identify one statistical analysis method that you found recurring in many of the articles you used in your literature review for your research proposal. This method does not necessarily have to be nonparametric.

Based on your area of nursing practice ( family Nurse Practitioner) , which method of statistical analysis is most frequently used in the research literature? Why do you think other forms of statistical analysis are less frequently used? Provide a rationale for your response.

References

Gray, J.R., Grove, S.K., & Sutherland, S. (2017). Burns and Grove’s the practice of nursing research: Appraisal, synthesis, and generation of evidence (8th ed.). St. Louis, MO: Saunders Elsevier.

Chapter 25, “Using Statistics to Determine Differences”

Chapter 8, “Chi-Square and Nonparametric Tests”

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