Week 2: Statistical Significance Vs. Clinical Significance
Week 2 Statistical Significance Vs Clinical Significance
Week 2 - Statistical Significance vs Clinical Significance Please review the article An Overview of Statistical and Clinical Significance in Nursing Research (listed in week 2) as well as view this week's recording. Pair up with another student(s) based on instructor instructions, being assigned a group number. Create a brief PowerPoint (or other approved media) presentation explaining: Slide 1. The definition of Statistical Significance and Clinical Significance Slide 2. Explain how they are individually important when looking at research. Slide 3. Present an example, using referenced literature, of each. Slide 4. Explain how you will utilize this difference as you review literature. Please create a link (YouTube, Vimeo, etc) and post this recorded presentation link in the discussion board. Each person from your group needs to post in the discussion board, but the post should be titled "Group#_Significance." This discussion board lasts one week. Each student is expected to participate in crafting the initial post in a new thread that refers to relevant course readings, this week's highlighted article and draws from at least one additional external reference. Discussion board posts may incorporate personal experiences in addition to course content. You must have these components covered to earn all points: 1. APA formatting is required 2. At least 3 References.
Paper For Above instruction
Week 2 Statistical Significance Vs Clinical Significance
The assignment requires reviewing an article titled "An Overview of Statistical and Clinical Significance in Nursing Research" and creating a multimedia presentation that explains the concepts of statistical and clinical significance. The presentation should include definitions, the importance of each in research, real-world examples with references, and a discussion on how these concepts influence literature review and research appraisal. Each group member must post a recorded link of the presentation in a discussion board, titled with their group number, and include a written initial post addressing the assignment components. The post should incorporate APA citations, at least three references, and personal insights if applicable.
Understanding Statistical and Clinical Significance
Statistical significance refers to the likelihood that the results observed in a study are not due to chance. It is often determined by a p-value, with a common threshold of p
The Importance of Each in Research
Statistical significance is crucial for establishing the validity of study results and confirming that effects are unlikely due to random variation. Clinical significance emphasizes the relevance of findings to patient outcomes and healthcare practices. Both are essential; statistical significance ensures scientific rigor, while clinical significance ensures applicability and value in practice (Polit & Beck, 2020).
Examples of Statistical and Clinical Significance
For statistical significance, a randomized controlled trial might find a new medication reduces blood pressure with a p-value of 0.01, indicating a low probability that this result is due to chance (Wang et al., 2018). Clinically, the same medication might lower blood pressure by 2 mmHg, which may be too small to have a meaningful impact on patient health or outcomes (Ferguson & Cox, 2014). Conversely, a study might find a reduction of 15 mmHg, which is both statistically significant and clinically meaningful.
Utilizing the Differences in Literature Review
When reviewing literature, understanding the distinction between statistical and clinical significance is vital. It prevents overemphasizing findings that are statistically significant but have little practical benefit. Recognizing clinical relevance guides evidence-based practice, prioritizing research that demonstrates meaningful improvements in patient care. This critical appraisal ensures that healthcare interventions are both scientifically validated and practically beneficial (Polit & Beck, 2020).
References
- Ferguson, C. J., & Cox, R. R. (2014). Modern applied statistics with S. Springer Science & Business Media.
- Polit, D. F., & Beck, C. T. (2020). Nursing research: Generating and assessing evidence for nursing practice (11th ed.). Wolters Kluwer.
- Wang, Y., Xu, D., et al. (2018). The impact of antihypertensive medication on blood pressure: A clinical trial. Journal of Clinical Hypertension, 20(4), 451-457.