Survey research and design in psychology/Lectures/Multiple linear regression I

Lecture 7: Multiple linear regression I

Resource type: this resource contains a lecture or lecture notes.

This is the seventh lecture for the Survey research and design in psychology unit of study.

Outline

Introduces and explains the use of linear regression and multiple linear regression, a multivariate correlational statistical technique, in the context of psychology.

More specifically, this lecture covers:

1. Correlation (Review)‏
2. Simple linear regression
3. Multiple linear regression
   1. General steps
   2. Assumptions
   3. R, coefficients
   4. Equation
   5. Types
4. Summary
5. MLR I Quiz - Practice questions

Prerequisite

1. Correlation (Lecture)

Readings

1. Howitt and Cramer (2014a):
   1. Chapter 09: Regression: Prediction with precision (pp. 120-132)
   2. Chapter 32: Multiple regression and multiple correlation (pp. 444-459)
2. StatSoft (2016). How to find relationship between variables, multiple regression. StatSoft Electronic Statistics Handbook.
3. Tabachnick, B. G., & Fidell, L. S. (2013) (6th ed. - International ed.). Multiple regression (Ch. 5) [Includes sample write-ups]. Using multivariate statistics (6th ed., pp. 117-196). Boston, MA: Pearson. Includes example write-ups. UCLearn reading list (Psychometric instrument development)

Handouts

• Lecture slides (Google Slides)
• 2018 handouts:
  • Download 6 slides to a page:
  • Download 3 slides to a page:

See also

• Psychometric instrument development (Previous lecture)
• Multiple linear regression II (Next lecture)
• Multiple linear regression (Tutorial)
• Linear regression
• Multiple linear regression
• MLR quiz (Practice)

External links

• Regression: Prediction with precision (Ch 11) quiz (Practice) (Howitt & Cramer, 2014)
• Hierarchical multiple regression (Ch 36) quiz (Practice) (Howitt & Cramer, 2014)
• Moderator analysis with continuous predictor variables (Ch 37) quiz (Practice) (Howitt & Cramer, 2014)