Correlation and Bivariate Regression

Correlation and Bivariate Regression Correlation tests are some of the most widely used tests; unfortunately, they are also some of the most misinterpreted tests. The term correlation is frequently used in a colloquial sense, but has a very specific definition within the context of statistics. As a critical consumer of research, after this week you will be able to properly interpret the strengths and weaknesses of this specific test. Perhaps the most exciting part of this week’s activities is the introduction to ordinary least squares regression. This form of linear regression is frequently referred to as the “workhorse” of the social sciences, and for good reason. It is one of the most widely used statistical tests. In this week, you will examine correlation and bivariate regression.

In your examination you will construct research questions, evaluate research design, and analyze results related to correlation and bivariate regression. Required Readings Frankfort-Nachmias, C., & Leon-Guerrero, A. (2020). Social statistics for a diverse society (9th ed.). 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” 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. Discussion: Correlation and Bivariate Regression Whether in a scholarly or practitioner setting, good research and data analysis should have the benefit of peer feedback. For this Discussion, you will perform an article critique on correlation and bivariate regression.

To prepare for this Discussion: • Search for and select a quantitative article specific to your discipline and related to correlation or regression. My discipline is Public Health. Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following: 1. What is the research design used by the authors? 2. Why did the authors use correlation or bivariate regression? 3. Do you think it’s the most appropriate choice? Why or why not? 4. Did the authors display the data? 5. Do the results stand alone? Why or why not? 6. Did the authors report effect size? If yes, is this meaningful? Be sure to support your Post with references to the week’s Learning Resources and other scholarly evidence in APA Style. Advanced writing standard

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