This Discussion assists in solidifying your understanding of statistical testing by engaging in some data analysis. This week you will work with a real, secondary dataset to construct a research question, estimate a multiple regression model, and interpret the results.
Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will post your response to the hypothesis test, along with the results. Be sure and remember that the goal is to obtain constructive feedback to improve the research and its interpretation, so please view this as an opportunity to learn from one another.
To prepare for this Discussion:
· Review this week’s Learning Resources and media program related to multiple regression.
· Create a research question using the General Social Survey that can be answered by multiple regression.
Use SPSS to answer the research question. Post your response to the following:
1. What is your research question?
2. What is the null hypothesis for your question?
3. What research design would align with this question?
4. What dependent variable was used and how is it measured?
5. What independent variable is used and how is it measured?
6. What other variables were added to the multiple regression models as controls?
7. What is the justification for adding the variables?
8. If you found significance, what is the strength of the effect?
9. Explain your results for a lay audience, explain what the answer to your research question.
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.
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)