Description
REQUIRES IBM/SPSS SOFTWARE 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 3-paragraph analysis of your correlation and bivariate regression results for each 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 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.
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 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”
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
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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