Factorial ANOVA (independent) Flashcards
What is the purpose of including more than one IV in the study?
We can explore the effects of
each IV on the DV and the interactions between the IVs
Used to test for differences
when we have more than one IV
Factorial ANOVA
What are the three broad factorial ANOVA designs?
- Independent
- all IVs are between-subjects - Repeated Measures
- all IVs are within-subjects - Mixed
- a mixture of between-subjects and within-subjects IVs
True or False?
The terms ‘IV’ and ‘factor’ are not interchangeable
False
The terms ‘IV’ and ‘factor’ are interchangeable
ANOVAs with more than one IV are called…?
Factorial ANOVAs
How many IVs/factors are present in a 2-way independent ANOVA?
2 IVs
How many IVs/factors are present in a 4-way independent ANOVA?
4 IVs
How many IVs/factors are present in a 3-way repeated measures ANOVA?
3 IVs
How many IVs/factors are present in a 2-way mixed ANOVA?
2 IVs
2-way independent ANOVA, 4-way independent ANOVA, 3- way repeated measures, 2-way mixed ANOVA etc…
What does the number mean?
The number of IVs/factors
IVs/factors in a factorial NAOVA have at least ___ levels
2
What does a 2*2 ANOVA mean?
- 2 IVs/factors
- One IV with 2 levels
- One IV also with 2 levels
What does a 2*4 ANOVA mean?
- 2 IVs/factors
- One IV with 2 levels
- One IV with 4 levels
What does a 4* 2 *2 ANOVA mean?
- 3 IVs/factors
- One IV with 4 levels
- One IV with 2 levels
- One IV also with 2 levels
Used when there are 2 or more IVs, between subjects
Two-way independent ANOVA
Used when there are 2 or more IVs, within subjects
Two-way repeated measures ANOVA
Used when there are 2 or more IVs, at least one IV that is between subjects and at least one IV that is within subjects
Two-way mixed ANOVA
A two-way factorial ANOVA tells us 2 things
What are they?
- Main effects
- Interaction
Do gender effects depend on
texture?
Is this an example of:
a. Main effects
b. Interaction
b. Interaction
Is there a texture effect?
Is this an example of:
a. Main effects
b. Interaction
a. Main effects
Is there a gender effect?
Is this an example of:
a. Main effects
b. Interaction
a. Main effects
Instead of running separate one-way ANOVAs (or t-tests) to learn about main effects, we use factorial ANOVAs to control for…?
Familywise error rate
What do factorial ANOVAs control for…?
Familywise error rate
The dependency of one factor (or IV) on another
factor (or IV)
This is known as…?
Interaction effects
True or False?
Factorial ANOVA does not tell us about interaction effects
False
Factorial ANOVA tells us about interaction effects
What makes up the variance between IV levels in a two-way independent ANOVA?
- IV 1 variance
- IV 2 variance
- Interaction variance
What makes up the variance within IV levels in a two-way independent ANOVA?
- Error
(incl. individual diffs and experimental error)
The combined effects of multiple IVs/factors on the
DV
This is known as…?
Interaction effects
What are interaction effects?
The combined effects of multiple IVs/factors on the
DV
What does a significant interaction effect indicate?
The effect of manipulating one IV depends on the level of the other IV
True or False?
Where an interaction is present, it is always meaningful to draw conclusions from the main effects
False
Sometimes where an interaction is present, it’s not meaningful to draw conclusions from the main effects