Week 7 Lecture 7 - 2-way RM ANOVA and 2-way Mixed ANOVA

Question 1

What effects do a 2W RM ANOVA test?

Answer 1

• main effects
• interaction

Question 2

What contributes to BIVL var in 2W RM ANOVA?

Answer 2

• manipulation of IV
• error

Question 3

What contributes to WIVL var 2W RM ANOVA?

Answer 3

• error

Question 4

Do you tend to see higher or lower F values in 2W RM ANOVA? Why?

Answer 4

higher
because you are dividing by a smaller number because you are excluding individual differences

Question 5

True or false
In 2W RM ANOVA, you are able to calculate the degree of error associated with each factor separately

Answer 5

True
because the same ppts take part in each IV level

Question 6

What are the assumptions for a 2W RM ANOVA?

Answer 6

• normality
• sphericity
• equivalent sample size

Question 7

Is there a non-parametric alternative to 2W RM ANOVAs?

Answer 7

no

Question 8

In a 2W mixed ANOVA is error data for the interaction available? Why?

Answer 8

no
- impossible to work out
- the error data for the WS IV is used instead as an estimate

Question 9

When conducting tests of simple effects for a 2W mixed ANOVA, how do you decide which type of t-test to use?

Answer 9

• look at the subjects design that is used for the Main IV, use that corresponding t-test

Question 10

When conducting tests of simple effects in a 2W mixed ANOVA, how do you know whether the file needs to be split in SPSS?

Answer 10

• the file doesn’t need to be split if the secondary IV is WS
• the file does need to be split is the secondary IV is BS