DNP-DPI Project: Part I : Fountain Essays
This week’s post will focus on Chapter Three. Please address the areas below in your discussion post this week. Please write at least five concise statement discussing the content in this area. Spelling and grammar will be reviewed and graded. Note: When you write the chapters, adhere to the Proposal Paper requirements.
TOPIC: Impact of Medication Administration Errors on 3-4-Year-old Leukemia Patients
Population and Sample Selection: This section discusses the setting, total population, project population, and project sample. The discussion of the sample includes the project terminology specific to the type of sampling for the project.
Instrumentation or Sources of Data: This section describes, in detail, all data collection instruments and sources (tests, questionnaires, interviews, databases, media, etc.); the specific instrument or source to collect data for each variable or group (quantitative project).
Validity and Reliability: This section provides specific validity statistics for quantitative instruments, identifying how they were developed, and explains how validity will be addressed during data collection approaches. This section provides specific reliability statistics for quantitative instruments, identifying how the statistics were developed, and explains how reliability will be addressed during data collection approaches.
Data Collection Procedures: Describe the step-by-step procedures used to carry out all the major steps for data collection for the project in a way that would allow another investigator to replicate the project. Can say Step 1, Step 2, Step 3…
Data Analysis Procedures: This section provides a description of how the data will be collected and organized for each variable or group; a description of the type of data to be analyzed, identifying the descriptive, inferential, or nonstatistical analyses; a description of how the raw data will be organized and prepared for analysis; and a step-by-step description of the procedures used to conduct the data analysis.
Ethical Considerations: This section discusses the potential ethical issues surrounding the DPI project, as well as how human subjects and data will be protected. It identifies how any potential ethical issues will be addressed.
Limitations: This section discusses, in detail, the limitations related to the project approach and methodology and the potential impacts on the results.
Post the following statement to this topic’s discussion forum after your references:
“I am attending class, I am engaged in the writing of my DPI Project, and I am communicating regularly with my DPI Project Chairperson/Committee.”
Resources
Read:
Sole, M. L., Talbert, S., Bennett, M., Middleton, A., Deaton, L., & Penoyer, D. (2018). Collecting Nursing Research Data 24 Hours a Day: Challenges, Lessons, and Recommendations. American Journal of Critical Care, 27(4), 305–311.
Read:
Hammer, M. J. (2017). Research Ethics in Big Data. Oncology Nursing Forum, 44(3), 293–295.
Read:
Corwin, E., Jones, D., & Dunlop, A. (2019). Symptom science research in the era of big data: Leveraging interdisciplinary resources and partners to make it happen. Journal of Nursing Scholarship, 51(1), 4-8.
