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:

Write a 2- to 3-paragraph analysis of your correlation and bivariate regression results for each research question. Do not forget to evaluate if the correlation and bivariate regression assumptions are met and report the effect size. 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.

If you want to login to w. university portal

(the login information will be provided)

You need SPSS

Required Readings

Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.

  • Chapter 12, “Regression and Correlation” (pp. 325-371)

Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.

  • Chapter 8, “Correlation and Regression Analysis”

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.

Magnusson, K. (n.d.). Welcome to Kristoffer Magnusson’s blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html

As you review this web blog, select New d3.js visualization: Interpreting Correlations link, once you select the link, follow the instructions to view the interactive for interpreting correlations. This interactive will help you to visualize and understand correlations between two variables.

Note: This is Kristoffer Magnusson’s personal blog and his views may not necessarily reflect the views of Walden University faculty.

Document: Walden University: Research Design Alignment Table

Datasets

Document: Data Set 2014 General Social Survey (dataset file)

Use this dataset to complete this week’s Discussion.

Note: You will need the SPSS software to open this dataset.

Document: Data Set Afrobarometer (dataset file)

Use this dataset to complete this week’s Assignment.

Note: You will need the SPSS software to open this dataset.

Document: High School Longitudinal Study 2009 Dataset (dataset file)

Use this dataset to complete this week’s Assignment.

Note: You will need the SPSS software to open this dataset.

Required Media

Laureate Education (Producer). (2016b). Correlation and bivariate regression [Video file]. Baltimore, MD: Author.

Note: The approximate length of this media piece is 9 minutes.

In this media program, Dr. Matt Jones demonstrates correlation and bivariate regression using the SPSS software.

Optional Resources

Correlation

Klingenberg, B. (2016). Correlation game. Retrieved from https://istats.shinyapps.io/guesscorr/

Use the following app/weblink for an interactive visual display of correlation slopes.

Regression

Klingenberg, B. (2016). Explore linear regression. Retrieved from https://istats.shinyapps.io/ExploreLinReg/

Use the following app/weblink for an interactive visual display of regression slopes.

Skill Builder: Interpreting Correlation and Regression Coefficients

To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week.

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