Mixed ANOVA

Question 1

Why is a mixed ANOVA used?

Answer 1

Because within-participants ANOVA is great for power but some variables can be hard to manipulate and because of sequencing effects

Question 2

What kinds of factors does a mixed ANOVA have?

Answer 2

A between-participants factor and a within-participants factor

Question 3

What are some assumptions of mixed ANOVA?

Answer 3

1. Normality
2. Homogeneity for both factors
3. Variance covariance matrix is the same at all levels of the within-participants design
4. Compound symmetry for the within-participants design

Question 4

What is always crossed with the participant factor?

Answer 4

The levels of the repeated-measure factor

Question 5

What is the participant factor always nested under

Answer 5

The levels of the between-factor group

Question 6

How many error terms are there in a mixed ANOVA

Answer 6

Two

Question 7

What kind of error terms are used when following up a main effect in a mixed ANOVA?

Answer 7

Pooled for between-participants, separate for within-participants