Week 6 Discussion: Data Analysis and Results (graded)

Purpose

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)

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Directions

• 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.

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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.

Grading

To view the grading criteria/rubric, please click on the 3 dots in the box at the end of the solid gray bar above the discussion board title and then Show Rubric.

SAMPLE SOLUTION

Descriptive analysis (statistics) refers to the analysis of data without inferring any meaningful generalizations about a population. It thus informs the researcher how their data is distributed, helps them in detecting outliers and errors, and aids them to identify the associations among variables hence making it possible for a further analysis to be undertaken.

Inferential analysis (statistics) is used for purposes of comparing the differences between ORDER YOUR PAPER AT WRITTASK.COM random sample from a population to describe and make generalizations about the population. With inferential analysis, a hypothesis is tested and conclusions about a population are made based on the sample.

Qualitative analysis is the analysis of qualitative data. It is based on making sense out of data rather than predicting or ORDER YOUR PAPER AT WRITTASK.COM that for me to conduct good qualitative analysis, I have to be creative and have an investigative mindset. It is interesting because before, I knew anybody could do any analysis regardless of whether they are creative or have investigative mindsets or not…