Compare clinical significance and statistical significance; include which one is more meaningful to you when considering application of findings to nursing practice.
Data Analysis and Results:
Houser, J. (2018). Nursing research: Reading, using, and creating evidence (4 th ed.). Sudbury, MA: Jones and Bartlett.
Chapter 11: Summarizing and Reporting Descriptive Data
Chapter 13: Analysis and Reporting of Quantitative Data
Chapter 15: Analyzing and Reporting of Qualitative Results
Data analysis is key for discovering credible findings from implementing nursing studies. Discussion and conclusions can be made about the meaning of the findings from the data analysis.
1)Share what you learned about descriptive analysis (statistics), inferential analysis (statistics), and qualitative analysis of data; include something that you learned that was interesting to you and your thoughts on why data analysis is necessary for discovering credible findings for nursing.
2)Compare clinical significance and statistical significance; include which one is more meaningful to you when considering application of findings to nursing practice.
Must be in APA format, use references and citations. One reference must be from textbook and one reference from Scholarly article.
Primary Task Response: Within the Discussion Board area, write 400 words that respond to the following questions with your thoughts, ideas, and comments. This will be the foundation for future discussions by your classmates. Be substantive and clear, and use examples to reinforce your ideas.
Personalized medicine or individualized medicine is a growing trend in the delivery of healthcare that is specific to the individual patient. For this discussion, your response should include:
- A definition of the term personalized medicine
- A specific example of personalized medicine
- Discuss one pro and one con of personalized medicine.
Include 2 reference sources, besides the textbook, and be sure to document your references using APA format.