# 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.

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## 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.

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## Sample Answer for NR 439 Week 6 Discussion: Data Results and Analysis Included After Question

## 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.

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“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.

– After the data are …, it is time to analyze the results!

- 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

According to our lesson this week the four basic rules for looking at data: #1 Understand the purpose of the study, #2 Identify the variables-dependent and independent, #3 Identify how the variables are measured, and #4 look at the measures of central tendency and the measures of variability for the study variables. I chose rule #3, Identify how variables are measured. Variables can be measured by the type, such as a Qualitative variable that is measured by nominal (marital status) or ordinal (pain rating) or Quantitative that may be measured by interval (patients temp) or ratio (pulse rate). Dependent and independent are other types of variables that can be measured. Measurements provide information about the variable. “Data must be analyzed using the correct statistical procedure for the level of measurement of a variable” (Houser,2018.p.318).

Compare clinical significance and statistical significance. Which one is more meaningful when considering applying evidence to your practice?

“Clinical significance is generally expected to reflect the extent to which an intervention can make a difference in patients’ lives” (Houser.,2018.p.356). Statistical significance tell us the findings are real but clinical significance is important for nursing practice. Statistical significance is based on a sample size, and clinical significance is more subjective and patient driven. An example would be the medication Ativan. Ativan is statistically proven to help reduce anxiety in a large sample group but clinically if given to an older person it may have the opposite effect. I think they are both important but I put more weight on clinical significance when applying evidence to my practice (Kim& Mallory.2014).

Compare descriptive statistics and inferential statistics in research. Please give an example of each type that could be collected in a study that would be done on your nursing clinical issue you identified in previous weeks.

Descriptive statistics provide concise summary of data. You can summarize data numerically or graphically. An example for my clinical issue (ICU Burnout) would be: Tracking down nurses in the past month that have left ICU nursing for other areas of nursing and summarize the data. I could use a histogram to visualize the number of years they spent as an ICU nurse, number of years they have been practicing, and other types of information.

Inferential statistics use a random sample of data taken from a population to describe and make inferences about the population. This type of statistic is used when it is not possible to study a population as a whole. I could use this type of statistics and choose a few nurses to represent ICU nurses from all different types of ICU practices such as Neuro, Cardiac, Neonate, Medical, Trauma and Surgical ICU nurses to get samples from each practice.

Houser, J. (2018). *Nursing research: Reading, using, and creating evidence* (4th ed.). Sudbury, MA: Jones & Bartlett.

Kim,M., & Mallory,C. (2014). Statistics for evidence based practice in nursing. Burlington,MA: Jones & Bartlett Learning

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