Multiple RegressionYou had the chance earlier in the course 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.
Part 1To prepare for this Part 1 of your Assignment:
- Review this week 9 and 10 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.
Part 2To prepare for this Part 2 of your Assignment:
- Review Warnerâ€™s Chapter 12 and Chapter 2 of the Wagner course text and the media program found in this weekâ€™s Learning Resources and consider the use of dummy variables.
- Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in this weekâ€™s Learning Resources.
- Consider the following:
- Create a research question with metric variables and one variable that requires dummy coding. Estimate the model and report results. Note: You are expected to perform regression diagnostics and report that as well.
- Once you perform your analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.
Warner, R. M. (2012). Applied statistics from bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications. Applied Statistics From Bivariate Through Multivariate Techniques,Â 2ndÂ EditionÂ by Warner, R.M. Copyright 2012 by Sage College. Reprinted by permission of Sage College via the Copyright Clearance Center. Chapter 12, â€œDummy Predictor Variables in Multiple Regressionâ€