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.
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
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/fulltext
Sample Answer 2 for NUR 705 Discussion 5.1: Statistical Inference and Clinical Significance
I agree with you that statistical inference tells us that something is happening. It also tells us that what is happening is not by chance and to what degree it is not by chance considering the sample size of the data, bias and the levels of measurement variability. while we can tend to trust this information to be a base of further enquiry, it does not represent or provide clinical information for patient care (Kim et al. (2022) and Sharma, (2021)). Clinical significance of a study on the other hand tells us how effective the result of the study is in terms of treating patients to return to improved health and meaningful quality of life Sharma, 2021). Improved health outcome or effective change in treatment modality is the goal of determining clinical significance of a study (Schober et al., 2018).
Kim, M., Mallory, C., & Valerio, T. (2022). Statistics for evidence-based practice in nursing (3rd ed.). Jones & Bartlett Learning.
Schober, P., Bossers, S. M., & Schwarte, L. A. (2018). Statistical significance versus clinical importance of observed effect sizes. Anesthesia & Analgesia,126(3), 1068–1072. https://doi.org/10.1213/ane.0000000000002798 (Links to an external site.)
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. https://doi.org/10.4103/sja.sja_158_21
Sample Answer 2 for NUR 705 Discussion 5.1: Statistical Inference and Clinical Significance
Yes, this is all true. It is also true that the the two work together, as i clinical trials, or evidence-based practice could be an example of
statistical inference and clinical significance working together. In the example of evidence-based practice using both statistical inference and clinical significance would be using the statistics of how to treat a certain disease/illness, based on which interventions had the best outcomes. Statistics really is about numbers, the numbers are the only thing that matters. Unfortunately, numbers aren’t always incredibly significant in healthcare, or the real world. This is why the clinical significance portion is so important. Clinical significance sets the numbers from the statistical portion into what is actually important and what is not. Statistical inference takes all of the information gathered into consideration, while clinical significance filters this information so that only the useful information is left.
Kim, M., Mallory, C., & Valerio, T. (2022). Statistics for evidence-based practice in nursing (3rd ed.). Jones & Bartlett Learning.
Sample Answer 3 for NUR 705 Discussion 5.1: Statistical Inference and Clinical Significance
Statistical inference refers to the use of statistics to make inferences about a population from a sample. Clinical significance, on the other hand, refers to the practical importance of results obtained in a study (Hanin, 2017). For example, if we are interested in whether or not a new drug is effective at reducing blood pressure, we would use statistical inference to determine if the average reduction in blood pressure for patients taking the drug is statistically different from the reduction in blood pressure for patients taking the placebo (i.e., sugar pill). If it is determined that there is a statistically significant difference between the two treatments, then we can say with some confidence that the new drug is actually effective at reducing blood pressure.
There are a number of reasons why it is important to evaluate both statistical inference and clinical significance when reviewing research studies. First, statistical inference gives us a way of understanding whether the results of a study are meaningful from a statistical point of view (Hubbard et al., 2019). This is important because, in many cases, the results of a study may be statistically significant but not clinically significant. For example, if a treatment only has a small effect on the overall population but produces large benefits for a subgroup of people, the results may be statistically significant but not clinically significant. On the other hand, evaluating clinical significance allows us to understand whether the results of a study are likely to have an impact on real-world clinical practice.
Statistical inference and clinical significance are important elements of research. Statistical inference allows us to draw conclusions from data that can be used to inform decision-making. Clinical significance is the extent to which a treatment or intervention improves health outcomes. It is important to consider both statistical inference and clinical significance when evaluating research, as they can provide complementary information (Hubbard et al., 2019). Statistical inference is important because it allows us to make predictions about population values based on a sample. This is especially important in medical research, as it can help us to understand how treatments or interventions might affect large groups of people. For example, if we want to know whether a new drug is effective, we can use statistical techniques to estimate the effect size in a target population.
References
Hanin, L. (2017). Why statistical inference from clinical trials is likely to generate false and irreproducible results. BMC medical research methodology, 17(1), 1-12. https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-017-0399-0
Hubbard, R., Haig, B. D., & Parsa, R. A. (2019). The limited role of formal statistical inference in scientific inference. The American Statistician, 73(sup1), 91-98. https://doi.org/10.1080/00031305.2018.1464947