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. (POs 4 & 8)
- CO 5: Recognize the role of research findings in evidence-based practice. (POs 7 & 8)
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 outside scholarly sources when required
- Engage in meaningful dialogue with classmates and/or instructor
- Express opinions clearly and logically, in a professional manner
- Use the rubric on this page as you compose your answers.
- Best Practices include:
- Participation early in the week is encouraged to stimulate meaningful discussion among classmates and instructor.
- Enter the discussion often during the week to read and learn from posts.
- Select different classmates for your reply each week.
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.
ANSWER
Understanding basic research designs and analytical methods is crucial in nursing. Descriptive analysis (statistics) helps reveal the characteristics of a sample. Descriptive analysis reveals the distribution of data, identification of outliers, and the associations among variables. Notably, descriptive analysis could be used to prepare data for further statistical analysis. Inferential analysis (statistics) helps …. To access full answer, click on the purchase button below.