module 8

Question 1

What is the naming convention for ANOVAs with multiple independent variables?

Answer 1

A: One-Way ANOVA = 1 IV; Two-Way ANOVA = 2 IVs (e.g., 2×2, 2×3); Three-Way ANOVA = 3 IVs (e.g., 2×2×3).

Question 2

Why are factorial ANOVAs useful?

Answer 2

A: They allow for the study of interaction effects between multiple independent variables.

Question 3

What is the design of a between-subjects factorial ANOVA?

Answer 3

A: Participants are assigned to only one condition in each factor combination.

Question 4

What are the components of variance in a 2x2 factorial ANOVA?

Answer 4

A: Variance due to Factor 1, Factor 2, interaction (F1 x F2), and within-groups error.

Question 5

What is a simple effects analysis?

Answer 5

A: It examines the effect of one IV at each level of another IV when an interaction is found

Question 6

How do you formally report a simple effects analysis result?

Answer 6

A: Include whether effects were significant at each level (e.g., p < .001) and describe the pattern of means.

Question 7

What are the main effects and interactions in a 2 x 2 x 3 factorial ANOVA?

Answer 7

A: 3 main effects, 3 two-way interactions, and 1 three-way interaction.

Question 8

What does a three-way interaction test in a factorial ANOVA?

Answer 8

A: Whether a two-way interaction changes depending on the level of a third factor.

Question 9

What is the F-ratio formula in ANOVA?

Answer 9

A: F = Mean Square of the effect / Mean Square of the error.

Question 10

What are the main parts of an ANOVA output table?

Answer 10

A: Source (IVs, interaction, error), SS, df, MS, F, and Sig (p-value).