You had the chance earlier in the week to perform an article critique on correlation and simple linear regression and obtain peer feedback. Hopefully you are excited about the potential th
You had the chance earlier in the week to perform an article critique on correlation and simple linear regression and obtain peer feedback. Hopefully you are excited about the potential these tests hold; equally important is that you recognize some of their weaknesses.
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Assignment: Testing for Correlation and Bivariate Regression
You had the chance earlier in the week to perform an article critique on correlation and simple linear regression and obtain peer feedback. Hopefully you are excited about the potential these tests hold; equally important is that you recognize some of their weaknesses. Now, it is once again time to put all of that good brainstorming to use and answer a social research question with the correlation and simple linear regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure that your variables are metric level variables that can easily be interpreted in these tests.
For this Assignment, you will examine correlation and bivariate regression testing.
To prepare for this Assignment:
· Review this week’s Learning Resources and media program related to regression and correlation.
· Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.
· Based on the dataset you chose, construct a research question that can be answered with a Pearson correlation and bivariate regression.
· Once you perform your correlation and bivariate regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
REFERENCES
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: Sage Publications.
· Chapter 12, “Regression and Correlation” (pp. 401-457)
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
· Chapter 8, “Correlation and Regression Analysis”
http://rpsychologist.com/index.html
Walden University, LLC. (Producer). (2016b). Correlation and bivariate regression [Video file]. Baltimore, MD: Author.
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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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