Lecture 6 Flashcards
Moderation
The relationship between xand y depends on a third variable z
Multiplicative interaction model
Predictor, moderator and predictor x moderator –> outcome
When to use a moderator?
When the hypothesis is conditional on a third variable z
When is the hypothesis conditional?
- A relationship between 2 or more variables is dependent on the value of one or more variables
- An increase in x is associated with an increase in y, when condition z is met, but not when condition z is absent
- X has a positive effect on y, that gets stronger when z increases
Marginal effect of x on y without interaction
coefficient = difference in y / difference in x
Marginal effect of x on y with interaction
difference in y/ difference in x = coefficient of x + coefficient of z
The marginal effect of x is now a function of z. The effect of a change in x depends on the value of z.
Mediation
The impact of x on y is driven by the presence of another variable w.
The relation (partly) runs via a third variable. Y depends on the mediator and the mediator depends on X.
Quadratic term
When the IV doesnt give a linear relationship on the DV
This is included in the model by adding the square of the concerning IV.