Survey research and design in psychology/Lectures/Multiple linear regression II
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Lecture 8: Multiple linear regression II
Resource type: this resource contains a lecture or lecture notes. |
This is the eighth lecture for the Survey research and design in psychology unit of study.
This page is complete for 2018. |
Outline[edit]
Summarises multiple linear regression and explains some advanced uses, including:
- semi-partial correlations
- analysis of residuals
- interactions
- analysis of change
The lecture resources include presentation slides, and sometimes additional notes.
Prerequisite[edit]
- Multiple linear regression I lecture
Readings[edit]
As per MLR I lecture, plus:
- Howitt and Cramer (2014a):
- Chapter 30: Partial correlation: Spurious correlation, third or confounding variables, suppressor variables (pp. 411-422)
- Chapter 39: The influence of moderator variables on relationships between two variables (pp. 540-561)
Handouts[edit]
- Lecture slides (Google Slides)
- 2018 handouts:
See also[edit]
- Multiple linear regression I (Previous lecture)
- Power & effect sizes (Next lecture)
- Multiple linear regression (Tutorial)
- Multiple linear regression
External links[edit]
- Semipartial (part) and partial correlation (nd.edu)
- Moderator analysis with continuous predictor quiz (Practice) (Howitt & Cramer, 2014)