You had the chance earlier in the week to perform an article critique on ANOVA testing and obtain peer feedback. Now it is time to put all that good practice to use and answer
You had the chance earlier in the week to perform an article critique on ANOVA testing and obtain peer feedback. Now it is time to put all that good practice to use and answer a social research question with the one-way ANOVA.
Assignment: Testing for One-Way ANOVA
You had the chance earlier in the week to perform an article critique on ANOVA testing and obtain peer feedback. Now it is time to put all that good practice to use and answer a social research question with the one-way ANOVA. As you head into the assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the dependent and independent variables (factor) are amenable to use in the ANOVA (i.e., be sure to note levels of measurement).
For this Assignment, you will examine the one-way ANOVA based on a research question.
To prepare for this Assignment:
· Review this week’s Learning Resources and media program related to one-way ANOVA testing.
· 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 one-way ANOVA.
· Once you perform your one-way ANOVA analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
For this Assignment:
Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1SES. Do not forget to evaluate if the assumptions of the test are met. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.
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 11, “Analysis of Variance” (pp. 373-399)
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
· Chapter 10, “Analysis of Variance”
· Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. and 6)
https://istats.shinyapps.io/ANOVA/
Walden University, LLC. (Producer). (2016h). One-way ANOVA demonstration [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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