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Posted: September 6th, 2023

DNP-830A Data Analysis

DNP-830A Data Analysis
TOPIC 1: Examining Methods and Designs
Assessment Description
The DNP must have a basic knowledge of quantitative methodology and design as it contrasts with qualitative and mixed methods. With this knowledge, the DNP can differentiate between methods and designs used in the evaluation of the evidence. This assignment includes a comparison of methodology and design while examining the external and internal validity of three projects or studies.
General Requirements:
Use the following information to ensure successful completion of the assignment:
• Before beginning this assignment, review the following three articles provided as topic Resources: (1) “A Mental Health Home Visit Service Partnership Intervention on Improving Patients’ Satisfaction”; (2) “Chronic Drug Treatment Among Hemodialysis Patients: A Qualitative Study of Patients, Nursing, and Medical Staff Attitudes and Approaches”; and (3) “Factors Influencing Hand Hygiene Practice of Nursing Students: A Descriptive, Mixed-Methods Study.”
• Use the “Comparison Table of Methods and Designs” template located in the DNP-830A folder of the DC Network Practice Immersion workspace to complete 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. 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. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.
• Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.
Part 1:
Using the “Comparison Table of Methods and Designs,” evaluate the three projects or studies indicated above.
Part 2:
Refer to the information from your “Comparison Table of Methods and Designs” and write a 1,000-1,250-word paper comparing the methods and designs of the three articles. Include the following in your paper:
1. Description of the characteristics associated with the method of each article.
2. Description of the characteristics associated with the design of each article.
3. Description of the statistical analysis associated with the method and design of each article.
4. Discussion of the reliability and validity issues associated with each methodology and design.
5. Summary comparing the different methods and designs used in the studies.
6. Attach the “Comparison Table of Methods and Designs” document as an appendix to your paper.

Comparison Table of Methods and Designs

APA Reference
(Include the GCU permalink or working link used to access the article.) Research Methodology and Design Setting/Sample
Setting characteristics
Sampling type (e.g., convenience, purposive, systematic)
Number of participants
• Identify the instrument
• Number of questions and how they are answered (e.g., open ended, multiple choice, Likert scale)
• Include how the data was collected. Reliability
Reliability type (e.g., interrater, test-retest, internal)

Psychometric data (e.g., Cronbach’s alpha)
Validity type (e.g., construct, content, face)
Psychometric data (e.g., sensitivity, specificity) Levels of Measurement
(Identify independent and dependent variables and the associated levels of measurements.) Data Analysis
• Statistical significance
• Analysis test used

Quantitative methodology and design are important aspects of research that are used to examine and evaluate evidence. In this assignment, we will compare and contrast the methods and designs used in three articles. We will evaluate the external and internal validity of each study and analyze the statistical analysis used in each article.

Part 1: Comparison Table of Methods and Designs

APA Reference | Research Methodology and Design | Setting/Sample | Instrumentation | Reliability | Validity | Levels of Measurement | Data Analysis

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