NR 439 Week 6 Discussion: Data Analysis and Results (graded)

Purpose

This week’s graded topics relate to the following Course Outcomes (COs).

CO 2: Apply research principles to the interpretation of the content of published research studies. (POs 4 & 8)
CO 5: Recognize the role of research findings in evidence-based practice. (POs 7 & 8)

Due Date

During the assigned week (Sunday the start of the assigned week through Sunday the end of the assigned week):

Posts in the discussion at least two times, and
Posts in the discussion on two different days

Points Possible

50 points

Directions

Discussions are designed to promote dialogue between faculty and students, and students and their peers. In discussions students:

Demonstrate understanding of concepts for the week
Integrate outside scholarly sources when required
Engage in meaningful dialogue with classmates and/or instructor

Express opinions clearly and logically, in a professional manner

Use the rubric on this page as you compose your answers.
Best Practices include:

Participation early in the week is encouraged to stimulate meaningful discussion among classmates and instructor.
Enter the discussion often during the week to read and learn from posts.

Select different classmates for your reply each week.

Discussion Questions

  Data analysis is key for discovering credible findings from implementing nursing studies. Discussion and conclusions can be made about the meaning of the findings from the data analysis.

Share what you learned about descriptive analysis (statistics), inferential 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 for nursing.

Compare clinical significance and statistical significance; include which one is more meaningful to you when considering application of findings to nursing practice.

Grading

To view the grading criteria/rubric, please click on the 3 dots in the box at the end of the solid gray bar above the discussion board title and then Show Rubric. See Syllabus for Grading Rubric Definitions.

This topic is closed for comments.

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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  

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.

Can you try this again? 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.