Moderation Analysis Using Multiple Regression

Front 1

The relationship between a predictor and an outcome vary as a function of ___________

Back 1

The moderator

Front 2

The moderator ___________ or ____________ the relationship between the predictor and the outcome.

Back 2

Enhances, Attenuates

Front 3

The moderator is usually ___________ with the predictor, but __________ with the outcome

Back 3

uncorrelated, correlated

Front 4

When is Moderated Multiple Regression most often used?

Back 4

When the moderator is measured (continuous or categorical)

Front 5

If the outcome variable is continuous, you would use ___________ Regression. If it is categorical, you would use __________ Regression.

Back 5

Linear, Logistic

Front 6

What do you test when you are checking for an interactive effect?

Back 6

Whether the interactive effect explains a significantly larger amount of variance than the two predictors on their own

Front 7

What are the two main steps in MMR analysis?

Back 7

1. Test omnibus effects
(additive effects of X and Z on Y and the interactive effect of XZ on Y)

2. Test simple slopes
(X -> Y at high Z, X -> Y at low Z)

Front 8

What is the first thing you do when conducting MMR, before calculating the interaction term?

Back 8

Mean-centre the predictors to reduce collinearity

Front 9

In moderated mediation, ____________ is central to the research question

Back 9

Mediation

Front 10

In mediated moderation, _____________ is central to the research question

Back 10

Moderation

Front 11

In moderated mediation, the effect of the ___________ depends on the __________________.

Back 11

Mediator, Levels of the moderator

Front 12

In mediated moderation, the effect of the ____________ is explained by ____________________.

Back 12

moderator, its relationship with the mediator