Factorial Anova

Question 1

Factorial anova

Answer 1

Experiment would have two factors (IVs) and is called a two-way factorial anova

An experiment with 3 factors would be called a 3 way factorial anova

Question 2

Factorial anova testing

Answer 2

Tests differences between conditions/ groups for more than 1x categorical IV (factor)

Tests interactions between the factors

Question 3

Main effect

Answer 3

Produce a main effect for each factor as well as interaction

Question 4

Output for 2 way factorial anova

Answer 4

Includes

• 2 main effects
• 1 interaction

A marginal mean is generated for each main effect, tells you which level of each factor resulted in better performance

The tests of between subjects effects has the values you need to report the main effect and the interaction

Question 5

Following up a significant interaction

Answer 5

If there is a significant interaction follow up tests are required

These tests are bonferroni corrected t tests. Allied simple effects tests

Question 6

Simple effects tests

Answer 6

Run bonferroni corrected independent t tests

Conducted to test differences between levels of 1 factor in each level of the other factor

Two t tests are conducted to test differences between the levels of 1 factor in each level of the other factor