In RSCH-8200, you learned about simple prediction with one predictor variable. However, individual and group phenomena can be influenced by a large number of factors, not just one. This requires a tool that lets you look at a large number of factors that may influence some phenomenon and understand which of those factors are most important in determining the outcome. The linear multiple regression analysis allows you to examine factors using the same essential principles as the simple linear regression. The big difference between the two procedures is that multiple regression allows more than one predictor that may influence the dependent variable.
This week, you will learn how to work with simple linear regression.
Reminder: Your Journal Article Critique is also due.

Learning Outcomes
By the end of this week, you will be able to (for ANCOVA):
• State underlying assumptions
• Determine whether assumptions have been met
• Propose alternatives if assumptions are not met
• State null and alternative hypotheses
• Analyze data using IBM SPSS Statistics
• Interpret and report the results with IBM SPSS Statistics, including effect size
• Describe sample size
• Report results in APA format
• Critique published work reporting on quantitative research

Course Text: Discovering Statistics Using IBM SPSS Statistics

Chapter 8, "Regression" (pp. 293-320)

Sections 8.1–8.4 provide an introduction to regression, including an explanation of how to do a simple regression on SPSS and how to interpret a simple regression. Sections 8.5 deal with linear multiple regression, which is the topic for week 6.

Media:
o Multiple Regression — Conceptual (Adobe Captivate)
Dr. Jennifer Morrow explains the conceptual framework of a linear multiple regression. This Flash-based demonstration will open in a new window.
Click here to download a transcript of this demonstration.
• Multiple Regression — Applied (Adobe Captivate)
Dr. Jennifer Morrow provides an example of the linear multiple regression using PASW. This Flash-based demonstration will open in a new window.
Click here to download a transcript of this demonstration.

• Handout: Journal Article Critique (Word document)

This handout explains the importance of scholarly critique and provides instructions for the journal article critique you will complete in this week’s Application 2 Assignment.

• Handout: Statistics Application Evaluation Criteria (Word document)

This handout will guide you in completing and submitting your multiple regression Application 1 Assignment for this week.

• Software: IBM SPSS Statistics Standard Grad Pack (current version). Available in Windows and Macintosh versions. Please refer to the IBM SPSS Software area on the left navigation bar for more information on how to install, register, and license this software.

You will use this software to complete this week’s Application 1 Assignment.
• Media:

•
o "Why Critique Research" (9:21)

Click here to download a transcript of this video segment.

Dr. Gary Burkholder of Walden University explains the value of critiquing research at all stages of your academic career. To view this video program, use the media player located at the top of this page.

Research Toolkit
Research Design
• Website: Web Center for Social Research Methods
https://www.socialresearchmethods.net

This website is for people involved in applied social research and evaluation. You will find several resources and links to other locations on the web that deal in applied social research methods.

• Website: Cengage Research Methods Workshops
https://www.wadsworth.com/psychology_d/templates/student_resources/workshops/resch_wrk.html

This website offers many useful workshop topics such as experimental methods, reliability and validity, surveys, sampling methods, ethical issues, and evaluating published research.
Statistics and SPSS
• Website: SPSS Student Resource Center
www.ibm.com/software/analytics/spss/support/techsupport.html
The SPSS student support site provides a knowledgebase and allows students to request assistance from SPSS Technical Support staff. Since this site is produced and maintained by the creators of the IBM SPSS Statistics software, it is the best place to go when you have a question about the software.

• Website: UCLA’s ‘What Statistical Analysis Should I Use?’ Table
https://www.ats.ucla.edu/stat/mult_pkg/whatstat/default.htm

This statistics table shows general guidelines for choosing a statistical analysis, and links showing how to do such tests using SAS, Stata and IBM SPSS Statistics . This is a good place to go if you are not sure which statistical test would best answer the research question you have.

• Website: Statistics Hell
https://www.statisticshell.com/html/apf.html This site is Andy Field’s (the author of the main course text) online statistics resource. This site provides additional explanations beyond the textbook and more examples. This is the best place to go when you are confused about how to do a particular test.

• Website: Cengage Statistics Workshops
https://www.wadsworth.com/psychology_d/templates/student_resources/workshops/stats_wrk.html

This website offers many useful workshop topics such as experimental methods, reliability and validity, surveys, sampling methods, ethical issues, and evaluating published research.
Optional Resources
• Text: Using Multivariate Statistics

•
o Chapter 5, "Multiple Regression"

This chapter provides an alternative explanation of the multiple regression test with more statistical explanations.
• Text: Publication Manual of the American Psychological Association

o Chapter 5, "Displaying Results"

• Media:

o Data Cleaning and Dealing with Assumptions (Adobe Captivate)

Dr. Jennifer Morrow explains the assumptions surrounding many of the tests you will study and explains ways that you can manage data that violates these assumptions. This Flash-based demonstration will open in a new window.

Click here to download a transcript of this demonstration.

o "Correlation and Introduction to Regression" (23:31 minutes)

Click here to download a transcript of this video segment.

In this segment, which originally appeared in RSCH 8200, Dr. Jennifer Morrow explains the calculation of a linear multiple regression and provides an example of calculating a linear multiple regression using PASW. To view this video program, use the media player located at the top of this page.

Multiple Regressions
This week, you have learned how to use regression in research study. In this Application, you will perform a multiple regression analysis.
To prepare for this Application:
• Review Chapter 8 of the Field text for a description of the simple regression and an example of conducting a simple regression using IBM SPSS Statistics.
• Review Chapter 5 from the APA manual, "Displaying Results."

• Review the media resources demonstrating the multiple regression..

The assignment:
Complete Smart Alex’s Task #4 on p. 355 to perform a multiple regression analysis using the Supermodel.sav dataset from the Field text. You can follow the steps outlined on pp. 316–320 as a guide.
Report your findings in APA format according to the guidelines in the IBM SPSS Statitics Application Assignment Guidelines handout. The final document should be 2–3 pages long.