NR 439 Week 6 Discussion, Data Results and Analysis
Chamberlain University NR 439 Week 6 Discussion, Data Results and Analysis-Step-By-Step Guide
This guide will demonstrate how to complete the Chamberlain University NR 439 Week 6 Discussion, Data Results and Analysis 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 NR 439 Week 6 Discussion, Data Results and Analysis
Whether one passes or fails an academic assignment such as the Chamberlain University NR 439 Week 6 Discussion, Data Results and Analysis 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 NR 439 Week 6 Discussion, Data Results and Analysis
The introduction for the Chamberlain University NR 439 Week 6 Discussion, Data Results and Analysis 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.
Struggling to Meet Your Deadline?
Get your assignment on NR 439 Week 6 Discussion, Data Results and Analysis done on time by medical experts. Don’t wait – ORDER NOW!
How to Write the Body for NR 439 Week 6 Discussion, Data Results and Analysis
After the introduction, move into the main part of the NR 439 Week 6 Discussion, Data Results and Analysis 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 NR 439 Week 6 Discussion, Data Results and Analysis
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 NR 439 Week 6 Discussion, Data Results and Analysis
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.
Stuck? Let Us Help You
Completing assignments can sometimes be overwhelming, especially with the multitude of academic and personal responsibilities you may have. If you find yourself stuck or unsure at any point in the process, don’t hesitate to reach out for professional assistance. Our assignment writing services are designed to help you achieve your academic goals with ease.
Our team of experienced writers is well-versed in academic writing and familiar with the specific requirements of the NR 439 Week 6 Discussion, Data Results and Analysis assignment. We can provide you with personalized support, ensuring your assignment is well-researched, properly formatted, and thoroughly edited. Get a feel of the quality we guarantee – ORDER NOW.
Sample Answer for NR 439 Week 6 Discussion, Data Results and Analysis Included
NR 439 Week 6 Discussion, Data Results and Analysis
A Sample Answer For the Assignment: NR 439 Week 6 Discussion, Data Results and Analysis
Title: NR 439 Week 6 Discussion, Data Results and Analysis
According to this week’s lesson, the four basic rules for understanding results in a research study are understand the purpose of the study, identify the variables—dependent and independent, identify how the variables are measured, and look at the measures of central tendency and the measures of variability for the study variables. I chose to explore the rule: identify the variables-dependent and independent. A dependent variable is something that depends on other factors. An independent variable is a variable that stands alone and isn’t changed by the other variables you are trying to measure. A dependent factor can be changed by what happens with the independent factor but a dependent factor can never change an independent factor. A simple example would be: Insulin causes a drop in blood sugar. Insulin is the independent factor and blood sugar is the dependent factor. There is no way for blood sugar to cause a drop in insulin.
“Statistical significance tells us the findings are real; clinical significance tells us if the results are important for practice” (Houser, 2018, p. 356). Both statistical significance and clinical significance relate to quantitative data. Statistical significance could mean that in 0.5% of the population x, y, and z occurred. The probability of it happening could be chance because it is such a small percentage of the population. Clinical significance shows to what degree the new intervention is needed to make a difference in a client’s life. Clinical significance is thought to be much more meaningful but without the initial statistical significance, further studies would not have been done to prove a clinical significance. In reference to practice, clinical significance is more important when applying evidence to my practice. When utilizing clinical significance, there is evidence-based support of your actions.
Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: NR 439 Week 6 Discussion, Data Results and Analysis
“The goal of statistical inference is to estimate likely true or large-sample effects based on random samples from the collective(s) of interest” (Wilkinson & Winter, 2014, p. 492). In a study, the variances between groups are measured quantitatively and examined using inferential statistics. Inferential statistics utilize numbers to determine the probability that random error plays a role in the outcome. It also suggests that independent variables have an effect on the results. Descriptive statistics are usually related to the mean, minimum, maximum, standard deviation, and median of results. These studies are not usually utilized for change in evidence-based practice but are more likely to be used to measure current practice. An example of inferential statistics would be if I questioned all of the Emergency Department nurses at my facility about the effects of education on compassion fatigue. The results would infer that the results would be the same in another location but I only used a small population. For the descriptive statistics, I would use a table, graph, or chart in addition to the statistical data to summarize my study.
References:
Houser, J. (2018). Nursing research: Reading, using, and creating evidence (4th ed.). Sudbury, MA: Jones & Bartlett.
Wilkinson, M., & Winter, E.M. (2014). Clinical and practical importance vs statistical significance: Limitations of conventional statistical inference. International Journal of Therapy & Rehabilitation, 21(10), 488-495.
A Sample Answer 2 For the Assignment: NR 439 Week 6 Discussion, Data Results and Analysis
Title: NR 439 Week 6 Discussion, Data Results and Analysis
For one independent variable, there may be more than one dependent variable. On the contrary, for more than one dependent variable, there is always one independent variable. The value of independent variable is changeable, while we cannot change the value of dependent variable. The independent variable is controllable, while we cannot control the value of dependent variable (Petter, DeLone, & McLean, 2013). Dependent variable depends upon independent variable, as when independent variable will change, there must be a change in the value of dependent variable. On the other hand, there is no impact of dependent variable upon independent variable. The value of independent variable is that which is manipulated in an experiment, while dependent variable is that value, which is observed by the researcher in an experiment
Petter, S., DeLone, W., & McLean, E. R. (2013). Information systems success: The quest for the independent variables. Journal of Management Information Systems, 29(4), 7-62.
- Discuss one of the four basic rules for understanding results in a research study.
- Compare clinical significance and statistical significance. Which one is more meaningful when considering applying evidence to your practice?
- Compare descriptive statistics and inferential statistics in research. Please give an example of each type that could … collected in a study that would … done on your nursing clinical issue you identified in previous weeks.
A Sample Answer 3 For the Assignment: NR 439 Week 6 Discussion, Data Results and Analysis
Title: NR 439 Week 6 Discussion, Data Results and Analysis
Descriptive analysis is a type of quantitative analysis. It uses simple mathematical calculations to summarize descriptive data and to provide the essential information in published research reports (Houser, 2018). Descriptive analysis gives basic information about variables in a dataset, delivers quantitative insight through numerical or graphical representation, and highlight the potential relationships between variables (Houser,2018). Descriptive analysis helps data visualization. It presents data in a meaningful and understanding way. I have learned that a patient’s vital sign is considered descriptive data.
Inferential analysis is a type of quantitative analysis used to determine if a specific result of the research from a sample size, can be expected to apply in a large target population (Houser, 2018). Inferential analysis refers to extending quantitative research findings as evidence basis into practice. The fundamental difference of inferential analysis from descriptive analysis is, inferential analysis allows nurses to make prediction of the strong evidence-based findings from quantitative research, relates them to the larger patient population (Houser, 2018).
Qualitative analysis is a process of data reduction. It is a process of reducing a large volume of rich characteristic information into meaningful units, so that they can be descripted, interpreted, and reported in an understandable way (Houser, 2018). Qualitative analysis involves with organizing and summarizing the enormous quantity of non-numerical data that have no standard methods. Through the process of thoughtfully review, qualitative analysis puts the intangible and inexact information into a manageable format, draw out the significance from the data collection (Houser, 2018).
According to week 6 online lesson, statistical significance “presents when the differences between two groups in the study sample are unlikely to have happened by error or change” (Chamberlain, 2018). Statistical significance indicates the reliability of the study result, but it does not assure that the results are clinically relevant (Ranganathan, 2015).
Clinical significance refers to the positive impact of the statistical significance on clinical practice. Clinical significance involves the evaluation of the effectiveness of strong research findings as evidence basis on clinical setting. Clinical significance facilitates the understanding and interpretation of the result, and helps clinical decision making (Ranganathan, 2015). Clinical significance is more meaningful to me because it complies with the principle of evidence-based practice. Clinical significance enables nurses to transfer of research knowledge into evidence-based practice.
Reference
Houser, J. (2018). Nursing research: Reading, using, and creating evidence (4th ed.). Jones & Bartlett.
Chamberlain College of Nursing (CCN). (2018). NR-439 Week 6 Lesson: Findings: Analysis and Results [Online lesson]. Downers Grove, IL: DeVry Education G
Ranganathan, P., Pramesh, C. S., & Buyse, M. (2015). Common pitfalls in statistical analysis: Clinical versus statistical significance. Perspect Clin Res.Links to an external site. 2015 Jul-Sep; 6(3): 169–170. doi: 10.4103/2229-3485.159943Links to an external site.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504060/Links to an external site.
Don’t wait until the last minute
Fill in your requirements and let our experts deliver your work asap.