Factorial ANOVAs Flashcards
1
Q
What is a factorial ANOVA?
A
- Multiple independent variables
- Different PPs in all conditions (independent)
- One dependent variable
2
Q
What do we find out from factorial ANOVAs?
A
How variables interact rathe than the main effect of the IV
3
Q
What are the assumptions for a factorial ANOVA?
A
- independence
- normality
- homogeneity of variance
4
Q
What do you use if the assumptions are not met?
A
- Non-parametric alternatives
- However, ANOVA is very robust so we can usually use them
5
Q
What should you calculate when doing a factorial ANOVA?
A
- F ratio for the main effects
- Interaction effect
6
Q
What is the use of a planned contrast?
A
You’re further dividing the variance explained by the model
7
Q
What are custom contrasts?
A
- Used when you want to compare things in a way that built-in contrasts won’t allow
8
Q
What are the rules of custom contrasts?
A
- Must be independent
- Only 2 chunks can be compared at once
- K-1 (should always end up with one less contrasts than the number of groups)
9
Q
What are the two types of effect sizes?
A
- Eta Squared
- Partial Eta Squared
10
Q
When do we use Eta Squared?
A
- One-Way ANOVAs
- Same as R^2
11
Q
When do we use Partial Eta Squared?
A
- Factorial ANOVAs
- Tells proportion of variance that is uniquely explained by the IV
