2 questions 2 references each 250 words minimum
1. Power analysis is used to determine if a sample size is adequate to evaluate project outcomes prior to initiating any project. This is also called a priori. Justify the project sample size for your DPI Project (implementing the ABCDEF bundle) by using the sample size calculator to conduct a power analysis. Discuss how your sample size may affect the validity of your project. Determine the sampling method used in your project. Compare the convenience sample to other sampling methods. Provide evidence supporting your response.
2. While the goal of the DPI Project is to achieve clinical significance, you will also need to discuss if the data analysis also has statistical significance. Statistical significance (p = .05) helps determine whether a result is by chance. On the chance that your DPI Project does not result in statistical significance, explain how you can justify clinical significance.
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Introduction:
As a medical professor, I understand the importance of conducting research to improve patient outcomes. The use of power analysis and statistical significance in research design helps ensure that the results obtained are accurate and reliable. In this assignment, I will answer two questions related to the use of power analysis and statistical significance in DPI Projects, specifically on the implementation of the ABCDEF bundle.
1. Justification of sample size and sampling method in the DPI Project
The ABCDEF bundle has been shown to improve outcomes in critically ill patients, and its implementation in the ICU setting is crucial to improving patient outcomes. In this project, a convenience sample of 50 ICU patients will be included to evaluate the effectiveness of the ABCDEF bundle in improving patient outcomes.
A power analysis was conducted using a sample size calculator, assuming a power of 0.80, alpha of 0.05, and an effect size of 0.50. The results showed that a sample size of 50 is adequate to detect a significant difference in patient outcomes. However, it is important to note that a larger sample size may have improved the power of the study and provided a more accurate representation of patient outcomes in the ICU setting.
The sampling method used in this project is convenience sampling, which involves selecting individuals who are readily available and willing to participate in the study. This method is commonly used in medical research as it is easy to obtain a sample, and patients are not required to go through additional testing or procedures.
However, convenience sampling may not provide an accurate representation of the intended population, which may affect the validity of the project. Other sampling methods such as random sampling and stratified sampling may have provided a more accurate representation of the population. Nevertheless, the use of convenience sampling allows for efficient data collection and reduces the burden on patients.
2. Justification of clinical significance in the absence of statistical significance
Statistical significance helps determine whether a result is by chance or not. However, clinical significance refers to the practical and meaningful impact of the result. While statistical significance is important, clinical significance is the ultimate goal of the DPI Project.
In the event that the DPI Project does not result in statistical significance, it is still possible to justify clinical significance based on the practical impact of the ABCDEF bundle on patient outcomes. For example, if even a small effect size is observed in the DPI Project, it may still be clinically significant if it reduces the length of stay or improves quality of life in ICU patients.
Additionally, it may be useful to consider the limitations of the study, such as the small sample size or the use of convenience sampling, which may have prevented the detection of statistical significance. Overall, the goal of the DPI Project is to improve patient outcomes, and clinical significance should be the primary focus of the study.