A) Correlation and Bivariate Regression
- Construct a research question using the General Social Survey dataset, which can be answered by a Pearson correlation and bivariate 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. If you found significance, what is the strength of the effect?
7. Explain your results for a lay audience; explain the answer to your research question.
B) Testing for Correlation and Bivariate Regression
- Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose)
- 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, copy and paste your output into Word document.
Write a 2- to 3-paragraph analysis of your correlation and bivariate 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.
C) Correlation and Bivariate Regression in Practice
Search for a quantitative article related to correlation and bivariate regression.
Write a 2- to 3-page critique of the article you found. In your critique, include responses to the following:
- Why did the authors use correlation or bivariate regression?
- Do you think it's the most appropriate choice? Why or why not?
- Did the authors display the data?
- Does the results table stand-alone (i.e., are you able to interpret the study from it?) Why or why not?