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.

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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NR 439 Week 6 Discussion Data Results and Analysis

Sample Answer for 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.

“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.

Sample Answer 2 for 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.

Data analysis is very important – it crunches all of the numbers or themes and tells you what you have at the end.  Unfortunately (for me, anyway), if it is a quantitative study, you are left with a bunch of statistics. 

Mercifully for all of us, we are not asking you to perform a statistical analysis on any data – you just have to tell us what you’ve learned about these statistics, and why data analysis is so important. 

Remember, you have to discuss three types of analysis:  descriptive analysis (statistics), inferential analysis (statistics), and qualitative analysis of data. 

Question 1. Share what you learned about descriptive analysis (statistics) and Qualitative analysis of data, include something that you learned that was interesting to you and your thoughts on why data analysis is necessary for discovering credible findings in nursing. 

Descriptive data:  Numbers in a data set that are collected to represent research variables.  Houser (2018).  Descriptive date uses simple mathematical /calculations.  Most are straightforward and can be done using a calculator. These techniques provide essential information in a research study.  Researchers who created descriptive reports must have the correct statistical technique for the data that has been collected. The data must be presented so readers easily comprehend and don’t misunderstand.  This also applies to nurses using statistical data in the clinical setting. 

Inferential data: Statistical test to determine if results found in a sample are representative of a larger population.  Houser (2018).  It’s the differences that occurs between samples and populations, between groups or over time, because of changes.  These changes are seen as risk factors in control studies.  An event interference is used to determine if the outcome was affected by the change.  It’s a generalization about a population which is based on sampling. 

Qualitative analysis: Focuses on an understanding of the means end of an experience.  From the individual perspective. Houser (2018).  It focuses on verbal descriptions and the observation of behaviors to analyze for the conclusions.  These methods are most appropriate for obtaining the meaning of the patient’s experience. Thus understanding what is the best therapeutic intervention.  What I found interesting was these methods can work together best for me in the clinical setting.  The researcher utilizes the clinical data collected that will best get the expected outcome. 

Question 2. Compare Clinical significance and statistical significance, include which one is more meaningful to you when considering application of findings in nursing practice. 

Clinical involves collecting data which involves people looking at understanding the disease, studying pattern, cause and how the disease effects the specific groups. 

Statistical significance:  Is a mathematical tool which determines whether the outcome of an experiment is the result of a relationship between specific factors or the result of chance. It claims that results from data by testing or experimentation does not occur randomly but is likely to be from a specific cause. 

Clinical significance is more important to me.  I can obtain the effectiveness of an intervention from the patient.  This supports my nursing practice and validates the interventions chosen for the specific problems. 

Reference, 

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

Sample Answer 3 for NR 439 Week 6 Discussion Data Results and Analysis

  This is generally great…I just want to clarify one thing. 

You said, “It focuses on verbal descriptions and the observation of behaviors to analyze for the conclusions.  These methods are most appropriate for obtaining the meaning of the patient’s experience. ”  That is true about qualitative RESEARCH, but what is qualitative analysis?  How is it conducted?   

Qualitative Analysis utilizes small sample sizes.  This data is usually words rather than numbers. It is used to characterize clear interventions for a defined group and not generalize loosely for a large population. Qualitative Analysis uses sampling which is deliberate.  It is not designed to make statistical inferences.   

This is still true of qualitative research, not qualitative analysis. 

A Sample Answer 4 For the Assignment: NR 439 Week 6 Discussion Data Results and Analysis

Title: NR 439 Week 6 Discussion Data Results and Analysis

Can you try this again? 

Nice job with your post this week. It was easy to read and understand. I see you described clinical significance and statistical significance but did not go into depth with the comparison. I do like your choice of clinical significance in the last paragraph. Clinical significance is so important in all that we do as nurses. The numbers can say what they want, but each patient is different, and seeing a good clinical outcome is what we as nurses want. The difference between Clinical and statistical significance is that clinical significance is assigned to an outcome where the course of treatment had a positive and quantifiable effect on the patient (Houser, 2018). Whereas Statistical significance is when an event is unlikely to have occurred by chance and is calculated out. In extremely broad terms, Basically, Clinical Significance will verify the extent of the thing that is happening and Statistical Significance means it’s likely that something is happening or it is calculated to happen a certain way. Again, nice job, and thanks for sharing what you learned.  

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

Qualitative Analysis :  Methods are designed to ask the who, what and why questions.  It catalogs and organizes the data, not analyze. It is suited to examine social constraints, group norms,  interventions and policy implications.  It is used as preliminary work in survey question design. 

See my comment to Grace about qualitative analysis. 

I really enjoyed reading your post this week. I also agree that the clinical significance is very important because that is the level that we use at the clinical level. It is important for us to understand how things work and how they will affect us and our patients.  

It’s Tuesday night and I haven’t heard from anyone! 

Please don’t leave your discussion post for the last minute… 

when is the discussion due in the assignment it says sunday please clarify thank you nancy 

The discussion and the Week 6 Assignment are both due on Sunday.  However, for the discussion you have to post on 2 separate days, so one of your posts needs to be done by Saturday. 

Sample Answer 5 for NR 439 Week 6 Discussion Data Results and Analysis

Qualitative Analysis :  Methods are designed to ask the who, what and why questions.  It catalogs and organizes the data, not analyze. It is suited to examine social constraints, group norms,  interventions and policy implications.  It is used as preliminary work in survey question design.

Data Results and Analysis

After the data are collected, 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 be collected in a study that would be done on your nursing clinical issue you identified in previous Weeks.

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