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DNP 830 Topic 2 What Are the Data Saying? GCU
General Requirements:
The DNP must have a basic understanding of
statistical measurements and how they apply within the parameters of data
management and analytics. This assignment will allow you to demonstrate your
understanding of basic statistical tests and how to choose the appropriate test
for the study being performed. You will also discuss the reliability and
validity factors associated with the data sources used.
Use the following information to ensure
successful completion of the assignment:
- Doctoral learners are required to use APA style for their writing
assignments. The APA Style Guide is located in the Student Success Center.
- This assignment uses a rubric. Please review the rubric prior to
beginning the assignment to become familiar with the expectations for
successful completion.
- You are required to submit this assignment to
LopesWrite. Please refer to the directions in the Student Success Center.
Directions:
The purpose of this assignment is to write a
paper including a comparison table. The table will be provided as an appendix
to the final paper.
Using the GCU Library, locate a quantitative,
qualitative, and mixed methods article related to your DPI topic. You may reuse
articles from Topic 1 assignment.
Using the “Comparative Table Template,”
create a table that compares quantitative, qualitative, and mixed methods
articles. Provide the table as an appendix to the paper.
Organize the table according to the
following.
1.
Type of article.
2.
Title of the article.
3.
Type of analysis: Describe the process of
analysis. There can be more than one.
4.
Applicability of test: Describe other
analyses that could be used and why?
5.
Reliability and validity: Describe either the
reliability and validity measures of tools used in the study or the techniques
used to enhance reliability and validity in the study.
Write a 1,000 to 1,250 word paper discussing
the application of data analysis, reliability and validity, and assorted
statistical tests used in health related research. Include the following in
your paper:
1.
State the types of study used in each
article.
2.
Discuss the types of statistical tests used
within each article and why they have been chosen.
3.
Discuss the applicability of the chosen
statistical test and why the statistical test was chosen.
4.
Discuss the differences between parametric
and nonparametric tests and how they were applied in the articles you chose.
5.
Evaluate how the factors of reliability and
validity are accounted for in the articles (of instruments and surveys or in
the design and data collection conducted).
6.
Summarize how the chosen studies could be
applied within the context of your practice.
Portfolio Practice Hours:
Practice immersion assignments are based on
your current course objectives and is application based learning using your
real-world practice setting. These assignments earn practice immersion hours
and are indicated in the syllabus by a Portfolio Practice Hours statement,
which reminds you, the learner, to enter in a corresponding case log in Typhon.
Actual clock hours are entered, but the average hours associated with each
practice immersion assignment is 10.
You are required to complete your assignment
using real-world application. Real-world application requires the use of
evidence-based data, contemporary theories, and concepts presented in the
course. The culmination of your assignment must present a viable application in
a current practice setting. For more information on parameters for
practice immersion hours, please refer to DNP resources in the DC Network.
To earn portfolio practice hours, enter the
following after the references section of your paper:
Practice Hours Completion Statement DNP-830
I, (INSERT NAME), verify that I have completed (NUMBER
OF) clock hours in association with the goals and objectives for this
assignment. I have also tracked said practice hours in the Typhon Student
Tracking System for verification purposes and will be sure that all approvals
are in place from my faculty and practice mentor.

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