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Testing for One Way ANOVA

Week 7 Quant & Reasoning

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 of 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 High School Longitudinal Study dataset 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.

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 posthoc 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.

PLEASE USE THE ATTACHED LEARNING RESOURCES FOR REFERENCE AND CITATIONS IN THE PAPER.

Week 7 Quant & Reasoning

Learning Resources

Required Readings

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)

Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210

For help with this week’s research, see this Course Guide and related weekly assignment resources.

Article for this discussion:

Fox, J. (1991). Discrete data. In Regression diagnostics (pp. 62-66). SAGE Publications, Inc., https://www-doi-org.ezp.waldenulibrary.org/10.4135/9781412985604

Please use references/citations from this week’s Learning Resources that are attached.

Document: Walden University: Research Design Alignment Table

Datasets

Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here.

Required Media

Laureate Education (Producer). (2016h). One-way ANOVA demonstration [Video file]. Baltimore, MD: Author.

Klingenberg, B. (2016). ANOVA: Analysis of variance. Retrieved from https://istats.shinyapps.io/ANOVA/

Use the following app/weblink to enter your own data and obtain an interactive visual display.

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