Description
Discussion 2: Emotion and Social Cognition Social psychologists have long studied the relationship between emotion (affect) and cognition, and there are many studies which demonstrate that emotion does indeed impact social cognitive functioning. For example, emotion can impact attention, judgments and decisions, cognitive processing/flexibility, perceptions of morality, and stereotypes/prejudice. Not only does emotion impact social cognitive functioning, but research also indicates that emotion, itself, is a social construction wherein social factors influence emotional response and emotional responses have social ramifications. For this Discussion, select a peer reviewed article from the Walden Library which studies emotion (affect) and its impact on social cognition, including but not limited to attention, judgments, decisions, cognitive processing, flexibility, perceptions of morality, and stereotypes and prejudice. Based upon the article you selected, consider whether or not emotion is a social construction. By Day 4 With these thoughts in mind: Post by Day 4 a brief summary of the peer-reviewed article you selected from the library (include the key variables, the design, and the main findings). Then, post an argument for or against the notion that emotion is a social construction. Use the article you selected to support your argument and include any connections between emotions and social cognition. Be sure to support your postings and responses with specific references to the Learning Resources. Read a selection of your colleagues’ postings.
Week 9: Multiple Regression
Last week you explored the predictive nature of bivariate, simple linear regression. As you found out, and its name implies, bivariate regression only uses one predictor variable. As social scientists, we frequently have questions that require the use of multiple predictor variables. Moreover, we often want to include control variables (i.e., workforce experience, knowledge, education, etc.) in our model. Multiple regression allows the researcher to build on bivariate regression by including all of the important predictor and control variables in the same model. This, in turn, assists in reducing error and provides a better explanation of the complex social world.
In this week, you will examine multiple regression. In your examination, you will construct research questions, evaluate research design, and analyze results related to multiple regression.
Learning Objectives
Students will:
Construct research questions
Evaluate research design through research questions
Analyze multiple regression
Analyze measures multiple regression
Evaluate significance of multiple regression
Analyze results for multiple regression testing
Analyze assumptions of correlation and bivariate regression (assessed in Week 10)
Analyze implications for social change (assessed in Week 10)
Evaluate research related to correlation and bivariate regression
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) (previously read in Week 8)
Wagner, III, W. E. (2020). Using IBM® SPSS® statistics for research methods and social science statistics (7th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 11, “Editing Output” (previously read in Week 2, 3, 4, 5. 6, 7, and 8)
Walden University Library. (n.d.). Course Guide and Assignment Help for RSCH 8210. Retrieved from http://academicguides.waldenu.edu/rsch8210
For help with this week’s research, see this Course Guide and related weekly assignment resources.
Document: Walden University: Research Design Alignment Table
Datasets
Your instructor will post the datasets for the course in the Doc Sharing section and in an Announcement. Your instructor may also recommend using a different dataset from the ones provided here.
Required Media
Laureate Education (Producer). (2016g). Multiple regression [Video file]. Baltimore, MD: Author.
Note: The approximate length of this media piece is 7 minutes.
In this media program, Dr. Matt Jones demonstrates multiple regression using the SPSS software.
Accessible player –Downloads– Download Video w/CC Download Audio Download Transcript
Optional Resources
Skill Builder: Interpreting the Results from Regression Models
To access these Skill Builders, navigate back to your Blackboard Course Home page, and locate “Skill Builders” in the left navigation pane. From there, click on the relevant Skill Builder link for this week.
You are encouraged to click through these and all Skill Builders to gain additional practice with these concepts. Doing so will bolster your knowledge of the concepts you’re learning this week and throughout the course.
Discussion: Multiple Regression
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 Afrobarometer Dataset or the HS Long Survey Dataset, that can be answered by multiple regression.
By Day 3
Use SPSS to answer the research question. Post your response to the following:
If you are using the Afrobarometer Dataset, report the mean of Q1 (Age). If you are using the HS Long Survey Dataset, report the mean of X1Par1Edu.
What is your research question?
What is the null hypothesis for your question?
What research design would align with this question?
What dependent variable was used and how is it measured?
What independent variables are used and how are they measured? What is the justification for including these predictor variables?
If you found significance, what is the strength of the effect?
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.
By Day 5
Respond to at least two of your colleagues’ posts and comment on the following:
Do you think the variables are appropriately used? Why or why not?
Does the addition of the control variables make sense to you? Why or why not?
Does the analysis answer the research question? Be sure and provide constructive and helpful comments for possible improvement.
If there was a significant effect, comments on the strength and its meaningfulness.
As a lay reader, were you able to understand the results and their implications? Why or why not?
Submission and Grading Information
Grading Criteria
To access your rubric:
Week 9 Discussion Rubric
Post by Day 3 and Respond by Day 5
To participate in this Discussion:
Week 9 Discussion
Assignment: Multiple Regression in Practice
For this Assignment, you will continue your practice as a critical consumer of research. You will critically evaluate a scholarly article related to multiple regression.
To prepare for this Assignment:
Use the Course Guide and Assignment Help found in this week’s Learning Resources and search for a quantitative article that includes multiple regression testing. Also, you can use as guide the Research Design Alignment Table located in this week’s Learning Resources.
For this Assignment:
Write a 3- to 5-paragraphs critique of the article (2 to 3 pages). In your critique, include responses to the following:
Why did the authors use multiple regression?
Do you think it’s 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?
Use proper APA format, citations, and referencing.
By Day 7
Submit your Assignment: Multiple Regression Practice.
Submission and Grading Information
To submit your completed Assignment for review and grading, do the following:
Please save your Assignment using the naming convention “WK9Assgnquandersinaia”
Click the Week 9 Assignment Rubric to review the Grading Criteria for the Assignment.
Click the Week 9 Assignment You will also be able to “View Rubric” for grading criteria from this area.
Next, from the Attach File area, click on the Browse My Computer Find the document you saved as “WK9Assgn+last name+first initial.(extension)” and click Open.
If applicable: From the Plagiarism Tools area, click the checkbox for I agree to submit my paper(s) to the Global Reference Database.
Click on the Submitbutton to complete your submission.
Grading Criteria
To access your rubric:
Week 9 Assignment Rubric
Check Your Assignment Draft for Authenticity
To check your Assignment draft for authenticity:
Submit your Week 9 Assignment draft and review the originality report.
Submit Your Assignment by Day 7
To submit your Assignment:
Week 9 Assignment
Making Connections
This week, you analyzed your multiple regression results for each research question and in your analysis displayed the data for the output. You also provided an explanation of what the implications of social change might be.
Next week, you will examine all of the assumption of multiple regression and how to test for them.
To go to the next week:
Week 10
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