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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home/intelligentwr/nursingassignmentcrackers/wp-includes/functions.php on line 6114NR 439 Week 6 Discussion: Data Analysis and Results (graded) <\/span><\/p>\n
This week’s graded topics relate to the following Course Outcomes (COs).<\/span>\u00a0<\/span><\/p>\n
50 points<\/span>\u00a0<\/span><\/p>\n
\u202f<\/span>\u00a0<\/span>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.<\/span>\u00a0<\/span><\/p>\n
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.<\/span>\u00a0<\/span><\/p>\n
This topic is closed for comments.<\/span><\/p>\n
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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.\u202f Unfortunately (for me, anyway), if it is a quantitative study, you are left with a bunch of statistics.<\/span>\u00a0<\/span><\/p>\n
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.<\/span>\u00a0<\/span><\/p>\n
Remember, you have to discuss\u202f<\/span>three\u202f<\/span><\/b>types of analysis:\u202f\u202f<\/span>descriptive<\/span><\/b>\u202fanalysis (statistics),\u202f<\/span>inferential<\/span><\/b>\u202fanalysis (statistics), and\u202f<\/span>qualitative<\/span><\/b>\u202fanalysis of data.<\/span>\u00a0<\/span><\/p>\n
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.<\/span>\u00a0<\/span><\/p>\n
Descriptive data: \u202fNumbers in a data set that are collected to represent research variables.\u202f Houser (2018).\u202f Descriptive date uses simple mathematical \/calculations.\u202f Most are straightforward and can be done using a calculator. These techniques provide essential information in a research study.\u202f 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\u2019t misunderstand.\u202f This also applies to nurses using statistical data in the clinical setting.<\/span>\u00a0<\/span><\/p>\n
Inferential data: Statistical test to determine if results found in a sample are representative of a larger population.\u202f Houser (2018).\u202f It\u2019s the differences that occurs between samples and populations, between groups or over time, because of changes.\u202f These changes are seen as risk factors in control studies.\u202f An event interference is used to determine if the outcome was affected by the change.\u202f It\u2019s a generalization about a population which is based on sampling.<\/span>\u00a0<\/span><\/p>\n
Qualitative analysis: Focuses on an understanding of the means end of an experience.\u202f From the individual perspective. Houser (2018).\u202f It focuses on verbal descriptions and the observation of behaviors to analyze for the conclusions.\u202f These methods are most appropriate for obtaining the meaning of the patient\u2019s experience. Thus understanding what is the best therapeutic intervention.\u202f What I found interesting was these methods can work together best for me in the clinical setting.\u202f The researcher utilizes the clinical data collected that will best get the expected outcome.<\/span>\u00a0<\/span><\/p>\n
Question 2. Compare Clinical significance and statistical significance, include which one is more meaningful to you when considering application of findings in nursing practice.<\/span>\u00a0<\/span><\/p>\n
Clinical involves collecting data which involves people looking at understanding the disease, studying pattern, cause and how the disease effects the specific groups.<\/span>\u00a0<\/span><\/p>\n
Statistical significance: \u202fIs 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.<\/span>\u00a0<\/span><\/p>\n
Clinical significance is more important to me.\u202f I can obtain the effectiveness of an intervention from the patient.\u202f This supports my nursing practice and validates the interventions chosen for the specific problems.<\/span>\u00a0<\/span><\/p>\n
Houser, J. (2018).\u202f<\/span><\/b>Nursing research: Reading, using, and creating evidence (<\/span><\/i><\/b>4<\/span><\/b>th<\/span><\/b>\u202fedition). Jones & Bartlett\u202f\u202f<\/span><\/b>\u00a0<\/span><\/p>\n
This is generally great…I just want to clarify one thing.<\/span>\u00a0<\/span><\/p>\n
You said, “It focuses on verbal descriptions and the observation of behaviors to analyze for the conclusions.\u202f These methods are most appropriate for obtaining the meaning of the patient\u2019s experience.\u202f”\u202f That is true about qualitative RESEARCH, but what is qualitative analysis?\u202f How is it conducted?\u202f\u202f<\/span><\/p>\n
Qualitative Analysis utilizes small sample sizes.\u202f 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.\u202f It is not designed to make statistical inferences.\u202f<\/span>\u00a0<\/span><\/p>\n
This is still true of qualitative research, not qualitative analysis.<\/span>\u00a0<\/span><\/p>\n
Can you try this again?<\/span>\u00a0<\/span>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. <\/span><\/p>\n
The\u202fdifference between Clinical and statistical significance<\/span>\u202f<\/span><\/b>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.\u202f<\/span>\u00a0<\/span><\/p>\n
Houser, J. (2018). Nursing research: Reading, using, and creating evidence. (4th ed.). Burlington, MA: Jones and Bartlett Learning.\u202f<\/span>\u00a0<\/span><\/p>\n
Qualitative Analysis<\/a> :\u202f Methods are designed to ask the who, what and why questions.\u202f It catalogs and organizes the data, not analyze. It is suited to examine social constraints, group norms,\u202f interventions and policy implications.\u202f It is used as preliminary work in survey question design.<\/span>\u00a0<\/span><\/p>\n