Data Analysis and Results


This week’s graded topics relate to the following Course Outcomes (COs).
CO 2: Apply research principles to the interpretation of the content of published research studies. (PO 4 & 8)
CO 5: Recognize the role of research findings in evidence-based practice. (PO 7 & 8)
Due Date
Answer post due by Wednesday 11:59 PM MT in Week 6
Two replies to classmates and/or instructor due by Sunday 11:59 PM MT at the end of Week 6
Discussions are designed to promote dialogue between faculty and students, and students and their peers. In
discussions students:
Demonstrate understanding of concepts for the week
Integrate scholarly resources
Engage in meaningful dialogue with classmates
Express opinions clearly and logically, in a professional manner
Use the rubric on this page as you compose your answers.
Discussion Questions
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.
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.
Compare clinical significance and statistical significance; include which one is more meaningful to you when
considering application of findings to nursing practice.



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