(Solved) DNP-830A Data Analysis | Full Course Solution
DNP-830A Data Analysis
MODULE 1
DQ 1
The DPI Project is conducted using a quantitative method driven by quality improvement. Provide a rationale for using a quantitative method in contrast to other methods (e.g., qualitative method or mixed method). Describe how the quantitative method is in line with quality improvement. Provide evidence supporting your response.
DQ 2
Define and distinguish among nominal, ordinal, interval, and ratio variables used in the measurement of DPI Project outcomes. Discuss the errors which can be made by failing to understand the proper use of measurement variables based on level and type of comparison.
RESOURCES
Read Chapters 1 and 2 in Clinical Analytics and Data Management for the DNP.
Cheng, J. Huang, X., Lin, M. Wang, Y. & Yeh, P. (2018). A mental health home visit service partnership intervention on improving patients’ satisfaction. Archives of Psychiatric Nursing, 32(4), 610-616. https://doi.org/10.1016/j.apnu.2018.03.010
https://www-sciencedirect-com.lopes.idm.oclc.org/science/article/pii/S088394171730506X?via%3Dihub
Gilad, L., Haviv, Y. S., Cohen-Glickman, I., Chinitz, D., & Cohen, M. J. (2020). Chronic drug treatment among hemodialysis patients: DNP-830A Data Analysis A qualitative study of patients, nursing, and medical staff attitudes and approaches. BMC Nephrology, 21(1), 1-9. https://doi.org/10.1186/s12882-020-01900-y
Zimmerman, P. P., Sladdin, I., Shaban, R. Z., Gilbert, J. & Brown, L. (2020). Factors influencing hand hygiene practice of nursing students: A descriptive, mixed-methods study. Nurse Education in Practice, 44. https://doi.org/10.1016/j.nepr.2020.102746
https://www-sciencedirect-com.lopes.idm.oclc.org/science/article/pii/S1471595318306565?via%3Dihub
Cypress, B. S. (2017). Rigor or reliability and validity in qualitative research: Perspectives, strategies, reconceptualization, and recommendations. Dimensions of Critical Care Nursing, 36(4), 253-263. https://doi.org/10.1097/DCC.0000000000000253
https://pubmed.ncbi.nlm.nih.gov/28570380/
Wagner, W. III, & Gillespie, B. (2019). Chapter 2: Variables and measurement. In Using and interpreting statistics in the social, behavioral, and health sciences (pp. 9-26). SAGE Publications. https://dx-doi-org.lopes.idm.oclc.org/10.4135/9781071814284.n3
Knapp, H. (2018). Chapter 1: Research principles. In Intermediate statistics using SPSS (pp. 3-19). SAGE Publications. https://dx-doi-org.lopes.idm.oclc.org/10.4135/9781071802625.n1
https://methods-sagepub-com.lopes.idm.oclc.org/book/intermediate-statistics-using-spss/i991.xml
View the following video resources, located on the Microsoft Support website, for assistance in attaching tables or charts in landscape orientation to a paper with portrait orientation:
Microsoft Support. (n.d.). Use landscape and portrait orientation [Video].
Microsoft Support. (n.d.). Use both in the same document [Video]. https://support.microsoft.com/en-us/office/video-use-landscape-and-portrait-in-the-same-document-ddd80cb6-c9ae-4493-ba75-c663074031a0
View the following video resources, located on the Microsoft Support website, for assistance in attaching tables or charts in landscape orientation to a paper with portrait orientation:
Microsoft Support. (n.d.). DNP-830A Data Analysis Use landscape and portrait orientation [Video].
Microsoft Support. (n.d.). Use both in the same document [Video].\ https://support.microsoft.com/en-us/office/video-use-landscape-and-portrait-in-the-same-document-ddd80cb6-c9ae-4493-ba75-c663074031a0
View the following video and review the associated articles, located on the Microsoft website, for assistance with changing page orientation.
Microsoft Support. (n.d.). Change page orientation to landscape or portrait [Video]. https://support.microsoft.com/en-us/office/change-page-orientation-to-landscape-or-portrait-9b5ac1af-9998-4a37-962b-a82b689572a9
MODULE 2
Describe the survey, instrument, or tool you plan to use in your DPI Project and explain why this is the best for your project. Describe the tool in terms of name, the number of items, how it is answered (e.g., multiple choice, Likert scale, yes/no, open answer), the total score, and the level of measurement. Describe the reliability and validity of the instrument including the applicable psychometric data. Provide evidence supporting your response.
DQ-2
There are many types of errors that can be found in data. Depending on the source of data, the cleansing process can take a substantial amount of time, and the attention to detail should not be underestimated. After reading Chapter 12 in Clinical Analytics and Data Management for the DNP, compare four common types of data errors and identify a method for cleaning each error. Provide evidence supporting your response.
Resources
Read Chapters 5, 6, 9, and 12 in Clinical Analytics and Data Management for the DNP.
MODULE 3
DQ-1
Descriptive statistics, such as demographics of the sample, are required for the DPI Project. Describe the project population and project sample. What demographic variables of your sample will you collect? What data source will you use to get these data? What do these data tell you about your sample? Provide evidence supporting your response. DNP-830A Data Analysis Get Adherence Paper Help
DQ-2
Compare parametric and nonparametric statistical tests. How does each test depend on the assumption of normality? What would you do if the data are not normally distributed? Provide evidence supporting your response.
RESOURCES
Read Chapters 7, 8, and 13 in Clinical Analytics and Data Management for the DNP.
Knapp, H. (2018). Chapter 3: Descriptive statistics. In Intermediate statistics using SPSS (pp. 45-76). SAGE Publications. https://dx-doi-org.lopes.idm.oclc.org/10.4135/9781071802625.n3
Review the data on the HCUP webpage to complete the topic assignment: Healthcare Cost and Utilization Project. (2021). HCUP state inpatient databases (SID) file composition – number of discharges by year. Agency for Healthcare Research and Quality. https://hcup-us.ahrq.gov/db/state/siddist/siddist_discharge.jsp
View the “Working With Descriptive Statistics” DNP-830A Data Analysis tutorial, located in the DNP-830A folder of the DNP PI Workspace for assistance in completing this assignment.
MODULE 4
DQ 1
Power analysis is used to determine if a sample size is adequate to evaluate project outcomes prior to initiating any project. This is also called a priori. Justify the project sample size for your DPI Project by using the sample size calculator to conduct a power analysis. Discuss how your sample size may affect the validity of your project. Determine the sampling method used in your project. Compare the convenience sample to other sampling methods. Provide evidence supporting your response.
DQ 2
While the goal of the DPI Project is to achieve clinical significance, you will also need to discuss if the data analysis also has statistical significance. Statistical significance (p = .05) DNP-830A Data Analysis helps determine whether a result is by chance. On the chance that your DPI Project does not result in statistical significance, explain how you can justify clinical significance.
RESOURCES
Read Chapters 2 and 14 in Clinical Analytics and Data Management for the DNP.
Review the data on the HCUP webpage to complete the topic assignment:
Healthcare Cost and Utilization Project. (2021). HCUP state inpatient databases (SID) file composition – number of discharges by year. Agency for Healthcare Research and Quality. https://hcup-us.ahrq.gov/db/state/siddist/siddist_discharge.jsp
Review the following video resources, located on the Microsoft Support website, for assistance in attaching tables or charts in landscape orientation to a paper with portrait orientation:
Microsoft Support. (n.d.). Use landscape and portrait orientation [Video].
Microsoft Support. (n.d.). Use both in the same document [Video]. https://support.microsoft.com/en-us/office/video-use-landscape-and-portrait-in-the-same-document-ddd80cb6-c9ae-4493-ba75-c663074031a0
Refer to “Sample Analysis of Variance (ANOVA) Table,” in the following APA Style resource, for assistance with APA style formatting as needed for your assignment: DNP-830A Data Analysis American Psychological Association. (2019). Sample tables. https://apastyle.apa.org/style-grammar-guidelines/tables-figures/sample-tables#anova
Refer to “Sample Results of Several t Tests Table,” in the following APA Style resource, for assistance with APA style formatting as needed for your assignment: American Psychological Association. (2019). Sample tables. https://apastyle.apa.org/style-grammar-guidelines/tables-figures/sample-tables#tests
Read: Qualtrics. (2020, May 21). DNP-830A Data Analysis Calculating sample size: A quick guide (calculator included). https://www.qualtrics.com/blog/calculating-sample-size/
View the “Working With Inferential Statistics” tutorial, located in the DNP-830A folder of the DNP PI Workspace for assistance in completing this assignment.
MODULE 5
DQ 1
Identify the statistical analysis technique that will be used for your project, including the descriptive and inferential analysis. Justify how the analyses are aligned with the methodology and design. How does each analysis answer the clinical question in your project? Provide evidence supporting your response.
DQ 2
Data visualization allows data findings to be reported in a graph, chart, or other visual format. It communicates the relationship of the data with images. This is important because it allows trends and patterns to be more easily seen. Describe the best way to visualize the data you will collect for your DPI Project to have the most effect on your audience.
RESOURCES
Review Chapter 9 and read Chapters 14 and 17 in Clinical Analytics and Data Management for the DNP.
McGregor, S. L. (2018). Descriptive and inferential statistics. DNP-830A Data Analysis In Understanding and evaluating research (pp. 309-344). SAGE Publications. https://dx-doi-org.lopes.idm.oclc.org/10.4135/9781071802656.n12 https://methods-sagepub-com.lopes.idm.oclc.org/book/understanding-and-evaluating-research/i2843.xml?fromsearch=true
Review the following video resources, located on the Microsoft Support website, for assistance in attaching tables or charts in landscape orientation to a paper with portrait orientation:
Microsoft Support. (n.d.). Use landscape and portrait orientation [Video].
Microsoft Support. (n.d.). DNP-830A Data Analysis Use both in the same document [Video]. https://support.microsoft.com/en-us/office/video-use-landscape-and-portrait-in-the-same-document-ddd80cb6-c9ae-4493-ba75-c663074031a0
MODULE 6
DQ 1
Discuss the basic principles of data interpretation, including the validity and reliability of the data used to translate outcomes into practice. What are common barriers to translating outcomes into practice? Analyze the importance of critically appraising the findings. DNP-830A Data Analysis Describe any barriers you may anticipate as you plan to translate the results of your own DPI Project into practice.
DQ 2
Read the Bible verses listed in the topic Resources. What does the Bible have to say about how one should view work in general? How does this Christian worldview of work affect the approach to the DPI Project?
RESOURCES
Read Chapters 15, 16, and 18 in Clinical Analytics and Data Management for the DNP.
Read Proverbs 6:6-8; Proverbs 13:4; 2 Timothy 2:5-6; and Colossians 3:23-24.
Use one of the following versions of the Bible: the English Standard Version (ESV), the New International Version (NIV), or the New American Standard Bible (NASB). Each of these versions is available in print and free at BibleGateway.com.
Capobianco, E. (2020). DNP-830A Data Analysis Imprecise data and their impact on translational research in medicine. Frontiers in Medicine, 7. 82. https://doi.org/10.3389/fmed.2020.00082
https://www-ncbi-nlm-nih-gov.lopes.idm.oclc.org/pmc/articles/PMC7096475/
MODULE 7
DQ 1
In the United States, disparities in health care for vulnerable populations are of great concern, with much attention focused on the potential for unconscious (implicit) bias. Christians are not immune to these human biases. Implicit bias has many effects on DPI projects including, data collection, data analysis, and patient outcomes. Based on your knowledge of the Christian worldview, how can a Christian worldview help eliminate bias from your DPI project.
DQ 2
Review the types of data that are considered protected health information (PHI). How would the collection of this data affect your project (whether you plan to collect it or not) and how would you store it in order to protect what you are collecting?
RESOURCES
Read Chapter 11 in Clinical Analytics and Data Management for the DNP.
Bowman, M. A., & Maxwell, R. A. (2018). DNP-830A Data Analysis A beginner’s guide to avoiding protected health information (PHI) issues in clinical research – With how-to’s in REDCap data management software. Journal of Biomedical Informatics, 85, 49-55. https://doi.org/10.1016/j.jbi.2018.07.008
https://www-sciencedirect-com.lopes.idm.oclc.org/science/article/pii/S1532046418301345
The Belmont Report
Read: The National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. (1979). DNP-830A Data Analysis The Belmont report. https://www.hhs.gov/ohrp/regulations-and-policy/belmont-report/index.html
MODULE 8
DQ 1
The “Revised Standards for Quality Improvement Reporting Excellence: SQUIRE 2.0” guidelines, located in the topic Resources, provide some guidance on the evaluation of quality improvement efforts. They are used as both grant proposal and manuscript publication preparation guidelines. Discuss how your project aligns with the SQUIRE 2.0 guidelines. Explain why your DPI Project is a quality improvement project and not a research project.
DQ 2
Select a nursing journal in which you would be interested in having your completed DPI Project published. Identify the journal and include a summary of the author guidelines. Describe at least two other methods commonly used by authors to disseminate or report quality improvement outcomes. How could the author guidelines, or those additional strategies you identified, be beneficial to you as you develop and implement your DPI Project? How could the author guidelines be beneficial to your practice?
RESOURCES
Revised Standards for Quality Improvement Reporting Excellence: SQUIRE 2.0
Read: Standards for QUality Improvement Reporting Excellence (SQUIRE). (2017). DNP-830A Data Analysis Revised standards for quality improvement reporting excellence: SQUIRE 2.0. http://squire-statement.org/index.cfm?fuseaction=Page.ViewPage&PageID=471
