WEEK 6 MODULE DATA ANALYSIS
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Assignment_Week_5.docx
Assignment Description:
Data Analysis
There are many resources available for data analysis. The resources you use will depend, in large part, on the type of data you have and the decisions that must be made based on that data, and the question you are seeking to answer. This assignment is designed to provide you with a basic understanding of one method for running your analysis by using IBM’s SPSS Statistics software.
You are not being asked to purchase this software. You will only need to download a free trial of SPSS for this course. This version of SPSS is only to be used to review, demonstrate, and evaluate IBM SPSS Statistics Software for purchase considerations later. Your trial period is only for 14 days, so you must use good judgment in when to download it and complete the assignment. You will find this link in the additional materials under digital software resources.
Please see the additional video tutorials in the additional resources.
Quality Improvement Scenario:
You are a Doctorate in Nursing Practice (DNP) entrepreneur at your clinical practice location; you have identified an area for improvement. The rate of catheter infections is high in one of your units. After reviewing the last two months of infection rates you realize that many of the patients on the floor would qualify for intermittent catheterization vs. an indwelling catheter. For this specific population, you take the initiative to pilot a policy change based on current Evidence-Based Practice (EBP) recommendations and follow a policy targeting intermittent catheterization use. Your quality improvement (QI) project aims to decrease the number of Catheter-Associated Urinary Tract Infections (CAUTI).
For data analysis, you will need to evaluate two entities.
1. The staff’s understanding of the education by conducting a pre and post-test.
2. A Retrospective data collection, looking at two months before and two months after implementing the policy change.
For the purposes of this assignment’s data analysis, you will be evaluating the effectiveness of your teaching.
Execute the following functions using SPSS.
Enter the following data:
|
Case |
Gender |
Age |
Timed Test |
Pre-test score |
Post-test score |
|
1 |
Male |
24 |
30 |
65 |
80 |
|
2 |
Female |
28 |
7 |
65 |
75 |
|
3 |
Female |
23 |
12 |
80 |
85 |
|
4 |
Male |
31 |
15 |
83 |
90 |
|
5 |
Male |
24 |
17 |
75 |
80 |
|
6 |
Female |
48 |
45 |
45 |
72 |
|
7 |
Female |
55 |
25 |
100 |
100 |
|
8 |
Male |
27 |
15 |
95 |
100 |
|
9 |
Male |
23 |
10 |
75 |
83 |
|
10 |
Female |
62 |
22 |
89 |
99 |
a) Run descriptive statistics on the data (provide a screen shot of your results and report in appendix of your paper).
b) Run a frequencies distribution on the data (provide a screen shot of your results and report in appendix of your paper).
c) Create a graph comparing the pretest and posttest scores by gender (provide a screenshot of your results and report in the Appendix of your paper).
Following APA formatting, craft a scholarly paper addressing the following analysis findings.
1. Explain the value of understanding the SPSS software and how this could help you understand your project data.
2. What other metrics did the SPSS offer that could help you support your findings?
3. What was your mean for each of the variables? Any concerns with the accuracy?
4. What was your standard deviation? Explain your findings: the appropriateness of the deviation and did it fall into a normal distribution.
5. Explain what the T-test is and how it would be used. Would it be applicable to the data that you are running? Or would it be more of a good fit for comparing the pre and post of your implementation findings? Explain your rationale.
Instructions & Specifications Submission Rubric
Start by reading and following these instructions:
1. Study the required chapter(s) of the textbook and any additional recommended resources. Some answers may require you to do additional research on the Internet or in other reference sources. Choose your sources carefully.
2. Consider the discussion and the any insights you gained from it.
3. Review the rubric and the specifications below to ensure that your response aligns with all assignment expectations.
4. Create your assignment submission and be sure to cite your sources, use APA style as required, check your spelling, and review the rubric.
The following specifications are required for this assignment:
· Length: 200-word count; answers must thoroughly address the questions in a clear, concise manner.
· Structure: Your paper should follow APA standards, have a discrete introduction (with purpose statement), body, and conclusion summary, and appendixes. The title page, references, and appendixes do not count toward the minimum word count for this assignment.
· References: Use the appropriate APA style in-text citations and references for all resources utilized to answer the questions. Include at least four (4) scholarly sources to support your claims.
This is my Topic
“ This quality improvement project is to implement the use of an evidence-based self-care tool, Summary of Diabetes Self-Care Activities (SDSCA), to improve diabetes self-care behaviors among adults with type 2 diabetes.”
Reference
Finkelman, A. (2020). Quality improvement: A guide for integration in nursing (2nd ed.). Jones & Bartlett Learning. ISBN: 9781284206531. Read chapter 10.
Schmidt, N. A., & Brown, J. M. (2021). Evidence-based practice for nurses: Appraisal and application of research (5th ed.). Jones and Bartlett Learning. IBSN:978-1-274-22632-4. Read chapters 13 & 14.
Additional source
Center for the Advancement of Research Methods and Analysis (CARMA) (Producer), & Murphy, K. (2006). Power analysis for traditional & modern hypothesis tests. [Video/DVD]. https://video.alexanderstreet.com/watch/power-analysis-for-traditional-modern-hypothesis-tests
Laerd Statistics. (2018). Descriptive and inferential statistics. https://statistics.laerd.com/statistical-guides/descriptive-inferential-statistics.php
Madrid Software Training Solutions. (2021). Statistics for data science. [YouTube]. https://youtu.be/DEt1WhVwjuc
Math Goodies. (2020). Practice exercises for introduction to statistics. https://www.mathgoodies.com/lessons/vol8/practice_unit8
Fernandez, J. (2020). The statistical analysis t-test simply explained. Towards Data Science. https://towardsdatascience.com/statistical-t-test-simply-explained-b510045d69e/
JMP Statistical Discovery. (2022). Statistical knowledge portal. https://www.jmp.com/en_us/statistics-knowledge-portal/t-test.html
Simple Interactive Statistical Analysis. (n.d.). Glossary of statistical methods. http://www.quantitativeskills.com/sisa/
IBM. (n.d.). SPSS statistics - Overview. https://www.ibm.com/products/spss-statistics
Free and Open-Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS). (n.d.). What is QualCoder? https://alternativeto.net/software/qualcoder/about/
IBM. (n.d.). SPSS statistics software. https://www.ibm.com/products/spss-statistics
Meredith Rocchi. (2014, August 14). Tutorial: Introduction to SPSS. YouTube. https://www.youtube.com/watch?v=SL2bZXfWQls
Research By Design. (2017, November 30). 01 How to Use SPSS - An Introduction to SPSS for Beginners. YouTube. https://www.youtube.com/watch?v=_zFBUfZEBWQ
Research By Design. (2017, December 5). 02 Descriptive Statistics and Frequencies in SPSS – SPSS for Beginners [Video]. YouTube. https://www.youtube.com/watch?v=bapuGcjwiLQ
Aspen University. (n.d.). Aspen research tips. Research Tips - Library (aspen.edu). https://classroom.aspen.edu/d2l/le/content/19391/Home
