Testing for Multiple Regression

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You had the chance earlier in the week to practice with multiple regression and obtain peer feedback. Now, it is time once again to put all of that good practice to use and answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables.

You had the chance earlier in the week to practice with multiple regression and obtain peer feedback. Now, it is time once again to put all of that good practice to use and answer a social research question with multiple regression. As you begin the Assignment, be sure and pay close attention to the assumptions of the test. Specifically, make sure the variables are metric level variables.

This Assignment includes two parts, Part 1 and Part 2. For this Assignment, you will complete Part 1where you will create a research question that can be answered using with multiple regression analysis.

Part 1

To prepare for this Part 1 of your Assignment:

  • Review this week’s Learning Resources and media program related to multiple regression.
  • 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 multiple regression analysis.
  • Once you perform your multiple regression analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.

For this Part 1 Assignment:

Write a 1- to 2-page analysis of your multiple regression results for each research question. 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.

 

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) (previously read in Week 8)

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

  • Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)

 

https://www.sendspace.com/file/zws88h

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