Factorial Designs

Question 1

What is a factorial design?

Answer 1

When more than one independent variable/predictor has been manipulated

Question 2

What does n way mean?

Answer 2

The number of independent/predictor variables manipulated

e.g. - 2 way - 2 IV’s

Question 3

What are the ways that participants can be allocated?

Answer 3

Independent design - different people in conditions

Repeated designs - same people in all conditions

Mixed design - different people in conditions of one IV, same people in conditions of one IV

Question 4

What is the benefit of factorial designs?

Answer 4

We can look at how variables interact

Question 5

What do interaction/moderation effects show?

Answer 5

How the effects of one predictor might depend on the effects of another

Question 6

What does moderation mean?

Answer 6

When the link between the outcome and predictor is moderated/changed by another predictor

it affects the relationship between two others

Question 7

What is an interaction term?

Answer 7

The product of two variables

Question 8

What does a interaction effect mean?

Answer 8

We have a significant moderation effect

Question 9

How do you partition variance?

Answer 9

Slice up the model sum of squares into main effects of the predictors and then their interaction effect

Question 10

How do you know if their is an interaction?

Answer 10

Flat slope - no interaction
Lines parallel - no interaction
Means at the same place - no difference