10 Apr Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you w
Student Name: Date:
Research Design Alignment Table | Using an alignment table can assist with ensuring the alignment of your research design.
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Research Problem, Purpose, and Framework Provide one sentence for each. These must align with all rows. |
Research Question(s), Method, & Design List one or more RQs, as needed; select method; identify design. Use a separate form for additional RQs. |
Data Collection Tools & Data Sources List the instrument(s) and people, artifacts, or records that will provide the data for each RQ. |
Data Points List the variables, specific interview questions, scales, etc. that will be used for each RQ. |
Data Analysis Briefly describe the statistical or qualitative analysis that will address each RQ. |
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Problem: Purpose: Framework: |
RQ1: Design: |
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RQ2: Design: |
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RQ3: Design: |
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Note. The information in the first column must align with all rows, and each individual RQ row must show alignment across the columns for that row.
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Once your Research Design Alignment Table is completed, reflect on your design alignment. Ask yourself:
1. Is there a logical progression from the research problem to the purpose of the study?
2. Does the identified framework ground the investigation into the stated problem?
3. Do the problem, purpose, and framework in the left-hand column align with the RQ(s) (all rows)?
4. Does each RQ address the problem and align with the purpose of the study?
5. Does the information across each individual row match/align with the RQ listed for that row?
· By row, will the variables listed address the RQ?
· By row, will the analysis address the RQ?
· By row, can the analysis be completed with the data points that will be collected?
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8210 Week 8 Discussion:
Correlation and Bivariate Regression
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on correlation and bivariate regression. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.
To prepare for this Discussion:
· Review the Learning Resources and the media programs related to correlation and regression.
· Search for and select a quantitative article specific to your discipline and related to correlation or regression. Help with this task may be found in the Course guide and assignment help linked in this week’s Learning Resources. Also, you can use as guide the Research Design Alignment Table located in this week’s Learning Resources.
Assignment Task Part 1. DUE: April 16, 2022
Search for and select a quantitative article specific to your discipline (My specific Discipline is:Early Childhood Education)and related to correlation or regression.
Write a 3-paragraph critique of the article. In your critique, include responses to the following:
1. What is the research design used by the authors?
2. Why did the authors use correlation or bivariate regression?
3. Do you think it’s the most appropriate choice? Why or why not?
4. Did the authors display the data?
5. Do the results stand alone? Why or why not?
6. Did the authors report effect size? If yes, is this meaningful?
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
Assignment Task Part 2
Respond to one of your colleagues’ posts in 125 words of the following below:
1. Make recommendations for the design choice.
2. Explain whether you think that this is the appropriate test to use for the research question. Why or why not?
3. As a lay reader, were you able to understand the results and their implications? Why or why not?
Learning Resources
http://academicguides.waldenu.edu/rsch8210
https://istats.shinyapps.io/guesscorr/
https://istats.shinyapps.io/ExploreLinReg/
http://rpsychologist.com/index.html
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