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. 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 the Learning Resources and the media programs related to correlation and regression.
Search for and select a quantitative article specific to your discipline and related to correlation or regression. Help with this task may be found in the Course guide and assignment help linked in this weeks Learning Resources. Also, you can use as guide the Research Design Alignment Table located in this weeks Learning Resources.

By 1/20/2021
Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:

What is the research design used by the authors?
Why did the authors use correlation or bivariate regression?
Do you think its the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?

 
Learning Resources
Required Readings
Frankfort-Nachmias, C., Leon-Guerrero, A., & Davis, G. (2020). Social statistics for a diverse society (9th ed.). Thousand Oaks, CA: 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
Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210
For help with this weeks research, see this Course Guide and related weekly assignment resources.
Magnusson, K. (n.d.). Welcome to Kristoffer Magnussons blog about R, Statistics, Psychology, Open Science, Data Visualization [blog]. Retrieved from http://rpsychologist.com/index.html
As you review this web blog, select New d3.js visualization: Interpreting Correlations link, once you select the link, follow the instructions to view the interactive for interpreting correlations. This interactive will help you to visualize and understand correlations between two variables.
Note: This is Kristoffer Magnussons personal blog and his views may not necessarily reflect the views of Walden University faculty.

 
Required Media
Laureate Education (Producer). (2016b). Correlation and bivariate regression [Video file]. Baltimore, MD: Author.

Note:  The approximate length of this media piece is 9 minutes.

In this media program, Dr. Matt Jones demonstrates correlation and bivariate regression using the SPSS software.

Accessible player –Downloads–Download Video w/CCDownload AudioDownload Transcript
Optional Resources
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.

APA REQUIRED 
TURN IT IN REQUIRED
SUBHEADING REQUIRED
FOLLOW THE DIRECTIONS 
MUST RECEIVE A PASSING GRADE OF A (b) OR BETTER.