NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
ST. Thomas University NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance-Step-By-Step Guide
This guide will demonstrate how to complete the ST. Thomas University NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance assignment based on general principles of academic writing. Here, we will show you the A, B, Cs of completing an academic paper, irrespective of the instructions. After guiding you through what to do, the guide will leave one or two sample essays at the end to highlight the various sections discussed below.
How to Research and Prepare for NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
Whether one passes or fails an academic assignment such as the ST. Thomas University NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance depends on the preparation done beforehand. The first thing to do once you receive an assignment is to quickly skim through the requirements. Once that is done, start going through the instructions one by one to clearly understand what the instructor wants. The most important thing here is to understand the required format—whether it is APA, MLA, Chicago, etc.
After understanding the requirements of the paper, the next phase is to gather relevant materials. The first place to start the research process is the weekly resources. Go through the resources provided in the instructions to determine which ones fit the assignment. After reviewing the provided resources, use the university library to search for additional resources. After gathering sufficient and necessary resources, you are now ready to start drafting your paper.
How to Write the Introduction for NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
The introduction for the ST. Thomas University NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance is where you tell the instructor what your paper will encompass. In three to four statements, highlight the important points that will form the basis of your paper. Here, you can include statistics to show the importance of the topic you will be discussing. At the end of the introduction, write a clear purpose statement outlining what exactly will be contained in the paper. This statement will start with “The purpose of this paper…” and then proceed to outline the various sections of the instructions.
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How to Write the Body for NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
After the introduction, move into the main part of the NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance assignment, which is the body. Given that the paper you will be writing is not experimental, the way you organize the headings and subheadings of your paper is critically important. In some cases, you might have to use more subheadings to properly organize the assignment. The organization will depend on the rubric provided. Carefully examine the rubric, as it will contain all the detailed requirements of the assignment. Sometimes, the rubric will have information that the normal instructions lack.
Another important factor to consider at this point is how to do citations. In-text citations are fundamental as they support the arguments and points you make in the paper. At this point, the resources gathered at the beginning will come in handy. Integrating the ideas of the authors with your own will ensure that you produce a comprehensive paper. Also, follow the given citation format. In most cases, APA 7 is the preferred format for nursing assignments.
How to Write the Conclusion for NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
After completing the main sections, write the conclusion of your paper. The conclusion is a summary of the main points you made in your paper. However, you need to rewrite the points and not simply copy and paste them. By restating the points from each subheading, you will provide a nuanced overview of the assignment to the reader.
How to Format the References List for NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
The very last part of your paper involves listing the sources used in your paper. These sources should be listed in alphabetical order and double-spaced. Additionally, use a hanging indent for each source that appears in this list. Lastly, only the sources cited within the body of the paper should appear here.
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Sample Answer for NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
Statistical inference is the process of making interpretations about certain populations based on statistical values, while clinical significance is much more subjective, and may be used to determine the measure of something (Anaesth, 2021). A statistical inference implies that something is happening, while the clinical significance is a measure of how much that thing is changing, measured by an expert in the field (Dahlberg et al., 2021).
Statistical data can be easily swayed depending on sample size and measure variability, so clinical significance is incredibly important to determine if the statistical information is clinically important (Anaesth, 2021). Clinical trials that are performed in large numbers are reliant on statistical information to determine credible results (Anaesth, 2021). Mostly, the two rely on each other to make relevant and reliable research study results.
Sharma H. (2021). Statistical significance or clinical significance? A researcher’s dilemma for appropriate interpretation of research results. Saudi journal of anaesthesia, 15(4), 431–434. https://doi.org/10.4103/sja.sja_158_21 (Links to an external site.)
Dahlberg, S.E., Korn, E. L., Le-Rademacher, J., Mandrekar, S. J. (2020). Clinical versus statistical significance in studies of thoracic malignancies. Journal of Thoracic Malignancies. 15(9), 1406-1408. https://www.jto.org/article/S1556-0864(20)30477-9
Sample Answer 2 for NUR 705 Discussion 5.1 Statistical Inference and Clinical Significance
There’s a significant difference between statistical inference and clinical significance. Statistical inference is like a very well educated guess. A conclusion is made about a population based off of a sample group (Stat Analytica, 2020). Clinical significance shows the effect of how a specific treatment on a sample group. For example if a clinical trial is testing a drug and it shows to be not effective in the sample group, that doesn’t necessarily mean one could statistically inference the drug not being effective for the rest of the population. The opposite is true as well. Statistical inference compared to clinical significance shows potential vs actual.
The reason why it’s important to evaluate clinical significance and statistical inference together is because those conducting the study will know the results aren’t just by chance. It’s also imperative that the results of the study show either a positive or negative outcome to determine if the treatment was effective or not. Clinical significance and statistical inference could be viewed together as both being positive, both being negative, or one positive with the other negative (Statistical Significance vs. Clinical Significance, 2017). Just because a result shows something is statistically significant does not mean it is clinically significant. For example if a clinical trial were testing a blood pressure medication that showed to reduce the blood pressure of patients and it were to be statistically significant shown by the P value, but clinically speaking there’s only a reduction of blood pressure by 5, than it’s not clinically significant. This shows the importance of why both clinical significance and statistical inference needs to be looked at together in order to view the picture of the study as a whole, and draw conclusions based off the data.
Stat Analytica. (2020, April 8). Statistics Inference : Why, When And How We Use it? – StatAnalytica. https://statanalytica.com/blog/statistics-inference/?amp
Statistical significance vs. clinical significance. (2017, March 23). Students 4 Best Evidence. https://s4be.cochrane.org/blog/2017/03/23/statistical-significance-vs-clinical-significance/