# Survey research and design in psychology/Lectures/Multiple linear regression II

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 2017, but hasn't been updated yet 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 (Slideshare)
- 2017 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)