Deck 6: Interaction/Moderation Effects Using Regression

Question 1

What exactly is an interaction/moderation effect?

A) When a third variable (X₁) and an independent variable (X₂) affect the dependent variable (Y) simultaneously
B) When a third variable (X₁) reduces the effect of an independent variable (X₂) on the dependent variable (Y)
C) When a third variable (X₁) affects the relation between an independent variable (X₂) and the dependent variable (Y)
D) When a third variable (X₁) affects an independent variable (X₂) but not the dependent variable (Y)

Answer 1

C

Question 2

What is a product term the result of?

A) Multiplying two variables
B) Taking the ratio of two variables
C) Subtracting one variable from another
D) Adding two variables

Answer 2

A

Question 3

What is a simple main (conditional) effect?

A) The effect of X₂ on X₁ when Y is equal to 0
B) The effect of X₁ on X₂ when Y is equal to 0
C) The effect of X₂ on Y when X₁ is equal to 0
D) The effect of X₁ on Y when X₂ is equal to 0

Answer 3

C,D

Question 4

When we estimate an interaction model with the mean-centered variables (X₁ and X₂), what will the coefficients on these predictors reflect?

A) The slope on X₁ for those having the mean score on X₂
B) The slope on X₂ for those having the mean score on X₁
C) The slope on X₂ and X₁ for those having the mean score on Y
D) None of these

Question 5

Which of the following commands in Stata can we use to compute the simple main effects after the estimation of an interactive regression model?

A) margins
B) margins, dydx()
C) predict
D) compute dydx()