Description
- 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)
Discussion
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.
Explanation & Answer
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Running head: DATA ANALYSIS
1
Data Analysis
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Institution Affiliation
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DATA ANALYSIS
2
Data Analysis
Data analysis refers to the evaluation of data through inspection, cleansing, and
transformation methods to discover useful information (Crowder, 2017). Schabenberger and
Gotway (2017) explain that data analysis is descriptive analysis, inferential analysis, and
qualitative analysis. In this article, descriptive, inferential, and qualitative analysis of data get
explained, after which I state something interesting, I learned from them. Also revealed are my
thoughts on the essentiality of data analysis in discovering credible nursing findings, and a
comparison of critical and statistical significance and which is more meaningful to me when
considering the application of results to nur...
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