This assignment comes in 4 parts. Part 1-3 are discussions. Each discussion needs 200-2050 words and 1 reference. APA style 7 edition. Each discussion will need 2 peer responses of 150 words and 1 reference. Part 4 is an assignment. Please follow the instructions in the rubric provided.
Part 1 Discussion 1
This week, you will be submitting a data analysis plan for your research proposal. Share your research questions and research project as well as your anticipated type of quantitative analysis with the class. What quantitative test/s are you going to conduct on your data (t-test, correlation, chi-square, regression, ANOVA, ANCOVA, etc.) and explain why you feel this is the best test. Then, examine at least two of your classmates’ posts and comment on their chosen methods of analysis. Do you have any suggestions for improvement? Are there any concerns regarding their chosen methods?
Part 2 Discussion 2
Using your research questions and research topic, identify your independent and dependent variables. Next, identify your research hypothesis and null hypothesis. Then, comment on two of your classmates’ posts and explain whether their research hypotheses and null hypotheses are appropriate for their identified research questions.
Part 3 Discussion 3
- What Is data mining. Discuss how EHR is related to data mining. What is the potential of healthcare data mining? How can it benefit or improve patient outcomes? Finally, explain why knowledge work and data mining are important for clinical reasoning and evidence-based practice.
- Support all responses using at least one scholarly source other than your textbook.
- Use national guidelines and evidence-based research when applicable.
- Students may enhance responses with an example, either from personal experience or from the media, which illustrates and supports ideas.
- All sources must be referenced and cited using the correct APA format (including a link to the source).
Part 4 Data Analysis Plan ( this is a continuation)
For this section of your research proposal assignment, you will carefully design a plan for analyzing your quantitative data. Explain in detail how you will go about analyzing your data. Be sure to:
- Include definitions of all variables
- Identify your null hypothesis and research hypothesis
- Include the type of analysis to be conducted (correlation, t-test, confidence interval, regression, ANOVA, ANCOVA, etc.)
- Explain why this type of analysis is most appropriate for your research
- Identify the significance level (typically set to .05, but may be set to .01 or .10)
- Explain what results you are looking for in your quantitative study (how will you know if you will accept or reject your null and research hypothesis?)
APA formatting, references, and citations are required.
Your research project data analysis plan should be included as part of your final submission for your research proposal project in week 7 and your research proposal presentation in week 8. Use the feedback you receive from your instructor on your data analysis plan to modify and improve before submission of your final project in weeks 7 and 8.
NURS_540_DE – NURS540 Research Data Analysis Plan Rubric
Criteria | Ratings | Pts | |||
---|---|---|---|---|---|
This criterion is linked to a Learning OutcomeVariables |
|
7.5 pts |
|||
This criterion is linked to a Learning OutcomeHyptohesis |
|
7.5 pts |
|||
This criterion is linked to a Learning OutcomeSatsistical Test |
|
15 pts |
|||
This criterion is linked to a Learning OutcomeRationale |
|
22.5 pts |
|||
This criterion is linked to a Learning OutcomeResults |
|
15 pts |
|||
This criterion is linked to a Learning OutcomeAPA & Mechanics |
|
7.5 pts |
|||
Total Points: 75 |