DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Grand Canyon University DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493-Step-By-Step Guide

This guide will demonstrate how to complete the Grand Canyon University DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493 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 DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493                           

Whether one passes or fails an academic assignment such as the Grand Canyon University DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493 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 DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493                         

The introduction for the Grand Canyon University DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493 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 DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493                         

After the introduction, move into the main part of the DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493 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 DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493                         

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 DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493                           

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 DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493 Included After Question

Topic 8 DQ 2

Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?

A Sample Answer For the Assignment: DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Title:  DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Statistical significance indicates the reliability of a study’s results, while clinical significance reflects its impact on clinical practice. To expound, measures of statistical significance quantify the probability of a study’s results being due to chance. Statistical significance is a mathematical measure that is used to determine variances between groups based on certain mathematical criteria.  Clinical significance, on the other hand, refers to the magnitude of the actual treatment effect, which will determine whether the results of the trial are likely to impact current medical/clinical practice (Ranganathan, Pramesh & Buyse, 2015). For example, a study may have true findings and a truly effective outcomes (statistically significant), however, the effect may be very small compared to the financial cost, or resources it may utilize to implement, deeming the study non-clinically significant. The measure of clinical significance is the determining factor whether an evidence-based practice will be implemented in the healthcare system (Schober, Bossers & Schwarte, 2018). Based on the positive outcomes of my change project, if true clinical significance is proven there is a greater potential for continued implementation into standard practice at the facility.  

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References 

Ranganathan, P., Pramesh, C. S., & Buyse, M. (2015). Common pitfalls in statistical analysis: Clinical versus statistical significance. Perspectives in clinical research, 6(3), 169–170. https://doi.org/10.4103/2229-3485.159943 

Schober, Patrick MD, PhD, MMedStat; Bossers, Sebastiaan M. MD, MSc; Schwarte, Lothar A. MD, PhD, MBA Statistical Significance Versus Clinical Importance of Observed Effect Sizes: What Do P Values and Confidence Intervals Really Represent?, Anesthesia & Analgesia: March 2018 – Volume 126 – Issue 3 – p 1068-1072 http://doi:10.1213/ANE.0000000000002798  

A Sample Answer 2 For the Assignment: DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Title:  DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Thank you for your educational post. In addition to what you elaborated on, It is always essential to determine the statistical significance of research before significance because clinical research study results, which are statistically significant, are often interpreted as clinically important. We can use clinical significance to support the positive outcomes of our project outcome by ensuring that the result is statistically significant (Heavey, 2015)

Reference

Heavey, E. (2015). Differentiating statistical significance and clinical significance. American Nurse Today, 10(5): 26-28. Available from https://www.brockport.edu/daily_eagle/doc/2015-04/item_8038_7659.pdf

A Sample Answer 3 For the Assignment: DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Title:  DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Statistical significance has been used extensively to evaluate the results of research studies. Nevertheless, it offers only limited information to clinicians. Assessing clinical relevance can facilitate interpreting the research results into clinical practice. Statistical significance is a measurement of how likely it is that the difference between two groups, models, or statistics occurred by chance or occurred because two variables are related to each other. This means that a “statistically significant” finding is one in which it is likely the finding is accurate, reliable, and not due to chance.

In the case of evidence-based research practice, it is essential to determine statistical significance of the research results before ascertaining whether the results are clinically significant. The main reason for establishing statistical significance before determining clinical significance is that clinical significance is determined after evaluating several research or experimental findings and confirming that they are statistically significant (Polit, 2017). I can make use of clinical significance to inform positive outcomes in my project outcome by ensuring that the results are statistically significant because clinical significance is informed by statistically significant results.

Polit, D. F. (2017). Clinical significance in nursing research: A discussion and descriptive analysis. International Journal of Nursing Studies, 73, 17-23.

A Sample Answer 4 For the Assignment: DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Title:  DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Statistical significance is a mathematical measure that is used to determine variances between groups based on certain mathematical criteria.  Clinical significance, on the other hand, refers to the magnitude of the actual treatment effect, which will determine whether the results of the trial are likely to impact current medical/clinical practice. Clinical significance indicates whether the results of a study are meaningful or not for several stakeholders. A clinically relevant intervention is the one whose effects are large enough to make the associated costs, inconveniences, and harms worthwhile (Armijo-Olivo, 2018).

References

Armijo-Olivo S. (2018). The importance of determining the clinical significance of research results in physical therapy clinical research. Brazilian journal of physical therapy, 22(3), 175–176. https://doi.org/10.1016/j.bjpt.2018.02.001

A Sample Answer 5 For the Assignment: DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Title:  DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Not all EBP projects result in statistically significant results. Define clinical significance, and explain the difference between clinical and statistical significance. How can you use clinical significance to support positive outcomes in your project?

      A project hopes to have results that mean something. However, this is not always the case, sometimes the results do not show a change. The resulted question is why a change wasn’t there. The primary cause of insignificance is not having enough samples. Statistical significance is at the heart of this discussion. If a study is done on one person, the value of the resultant data has no relation to other people. There just isn’t enough data and results to comfortably assume there is a pattern or connection (Dybvik, et al., 2018).

    Clinical significance relates to the clinical setting. Statistical significance merely relates to mathematical importance. It may have no bearing on the clinical area, be in a hospital or a lab. The way Mellis (2018) described it, there are those that produce and those that consume research. Clinical significance is more important for those that consume research. Statistical significance is more for those that produce the research. The importance of accepting clinical significance is the hopes there was a conclusion that was viable and true. Clinical significance will have different values than that of statistical significance. These two can be combined in a conclusion or evaluation as well (Mellis, 2018). There may not necessarily be numbers related to clinical significance, but results may support it regardless of the statistical values. There can be a positive outcome will low changes in expected results.

      For instance, the author’s practicum does look to have some statistical data that supports a positive conclusion due to valuation of blood glucose levels. Even with results not supporting lower blood glucose levels, perhaps in the case of the authors proposal, overall patient health can be related as a positive finding if indicated by the patient. Things such as a reduction in hospital visits are one way of analyzing the clinical value.

Dybvik, J. B., Sundsford, S., Wang, C. E. A., & Nivison, M. (2018). Significance of nature in a clinical setting and its perceived therapeutic value from patients’ perspective. European Journal of Psychotherapy & Counselling, 20(4), 429–449. https://doi-org.lopes.idm.oclc.org/10.1080/13642537.2018.1529690

Mellis, C. (2018). Lies, damned lies and statistics: Clinical importance versus statistical significance in research. Paediatric Respiratory Reviews, 25, 88–93. https://doi-org.lopes.idm.oclc.org/10.1016/j.prrv.2017.02.002

A Sample Answer 6 For the Assignment: DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Title:  DEFINE CLINICAL SIGNIFICANCE, AND EXPLAIN THE DIFFERENCE BETWEEN CLINICAL AND STATISTICAL SIGNIFICANCE NRS 493

Clinical significance is the significance that is linked to the significance of a course of treatments. When a project has clinical significance, it means that the intervention that was implemented had both genuine and quantifiable effects (Polit, 2017). Clinical significance has various key applications and it is mostly in major applications such as pharmaceutical testing and medical research or even in non-medical research, but it is also used in the critique of data sets.

On the other hand, statistical significance on the other hand is significance that emanates from the finding that an event is unlikely to have been caused by something else, or to have occurred by chance (Andrade, 2019).  

During the implementation of EBP, I would use clinical significance to show the superiority of the interest, as compared to competing interventions. I would first design my intention in such a manner that it is extensively supported by evidence that has achieved both clinical and statistical significance, and also ensure that there are no outliers that ultimately affect the intervention. My intervention which is Nicotine Replacement Therapy and Education and in this case, I would use clinical significance to prove that both of these intentions would have a more positive impact than no intervention at all. 

References

Andrade C. (2019). The P Value and Statistical Significance: Misunderstandings, Explanations, Challenges, and Alternatives. Indian journal of psychological medicine, 41(3), 210–215. https://doi.org/10.4103/IJPSYM.IJPSYM_193_19

Polit D. F. (2017). Clinical significance in nursing research: A discussion and descriptive analysis. International journal of nursing studies, 73, 17–23. https://doi.org/10.1016/j.ijnurstu.2017.05.002