This is a discussion question answer in 250 words of more – two reference , site the reference of the article as one, APA 7 format
Review “Lies, Damned Lies and Statistics: Clinical Importance Versus Statistical Significance in Research,” article attached
Provide examples of how you addressed feasibility and statistical versus clinical significance in your proposal. For example, why did you select the timeframe for your project, ( make up reason, project time was 8 weeks – pre implementation data was collected 8 weeks prior and comparison data was collected for 8 weeks). and does that project timeframe allow you to meet the sample size you may have found in your power analysis (power analysis was 32) ? Did you select this because it was feasible? Why or why not and explain.
What is the difference between clinical and statistical significance and why are both important to the patient improvement outcomes of your project?
How to Solve This is a discussion question answer in 250 words of more – two reference , site the reference of the article as one, APA 7 format Review “Lies, Damned Lies and Statistics: Clinical Importance Versus Nursing Assignment Help
Introduction:
Feasibility and statistical versus clinical significance are critical factors to consider when designing a research project. As a medical professor, it is important to teach students how to identify, address, and incorporate these factors into their research proposals. In this answer, I will discuss how I addressed feasibility and statistical versus clinical significance in a hypothetical research project. Additionally, I will explain the difference between clinical and statistical significance and why both are important for patient outcomes.
Answer:
In my research proposal, I selected a timeframe for data collection based on feasibility and statistical power. The project’s duration was eight weeks, where data was collected for eight weeks before implementation and eight weeks after implementation. The duration of the study was selected based on the nature of the intervention and the availability of participants. The sample size was calculated using a power analysis, and the project’s duration allowed us to meet the desired sample size.
Feasibility was a critical consideration in selecting the project’s duration. A longer duration would have been ideal to collect a more extensive dataset. However, that would have posed a logistical challenge in terms of participant retention and availability, thereby affecting the study’s feasibility. Therefore, an eight-week duration was optimal for recruitment, data collection, and analysis.
Clinical significance refers to the impact of the intervention on patient outcomes, whereas statistical significance refers to whether the observed effects are due to chance or not. When designing a research project, both factors are essential. Statistical significance is necessary to ensure that the observed effects are not due to chance and can be generalized to the larger population. On the other hand, clinical significance is essential to evaluate the effectiveness of the intervention on patient outcomes.
In conclusion, feasibility and statistical versus clinical significance are crucial considerations when designing a research project. Addressing these factors helps ensure that the study is logistically feasible, and the results are valid and meaningful for patient outcomes.
