Lecture 10- Mediation And Moderation

Question 1

Mediation occurs when

Answer 1

The relationship between a predictor and an outcome can be explained by their relationship to a third variable- the mediator

Question 2

A mediation model can be used whenever a what is used

Answer 2

Linear model

Question 3

Mediation can be used in what designs

Answer 3

Correlational and experimental

Question 4

What is total effect

Answer 4

The simple relationship between predictor and outcome

Question 5

What is an indirect effect

Answer 5

The effect of the predictor on the outcome through the mediator

Question 6

What is a direct effect

Answer 6

The effect of the predictor on the outcome, adjusting for the mediator

Question 7

The total effect is comprised of the

Answer 7

Indirect and Direct effect

Question 8

How could we test predictor outcome in r

Answer 8

Multiple regression adjusted for our predictor

Question 9

To run a mediation in r what function is used

Answer 9

sem()

Question 10

If the confidence intervals for not contain 0 and if the p value is less than .05 then

Answer 10

There is a mediation effect

Question 11

What’s partial mediation

Answer 11

The direct effect is reduced but still significant- there’s both indirect and direct effect of the predictor on the outcome

Question 12

What is full mediation

Answer 12

Direct effect is reduced to non-significance and the effect of the predictor on the outcome goes entirely through the mediator

Question 13

What is a moderator

Answer 13

A variable that affects the relationship between two others

Question 14

In a linear model with multiple predictors, each of the effects (bs) are interpreted when

Answer 14

The other variables in the model are 0

Question 15

In grand mean centring the ‘fixed point’ is

Answer 15

The overall mean of that measure

Question 16

Centring can be done using which function

Answer 16

mutate() and mean()

Question 17

To make interpretation easier what is done

Answer 17

Centre variables by transforming them into deviations around a fixed point

Question 18

High-order effects refer to

Answer 18

Interactions

Question 19

Lower-order effects refer to

Answer 19

Main effects

Question 20

If there is moderation effects what are we no longer interested in

Answer 20

Lower-order effects

Question 21

If interaction is significant then we have

Answer 21

A moderation effect

Question 22

What techniques can be used to follow up a significant interaction effect

Answer 22

• Simple slopes analysis

- Johnson-Neymon interval

Question 23

What needs to be worked out after a significant interaction effect

Answer 23

The coefficient for our predictor at different values of our moderator

Question 24

What is simple slope analysis

Answer 24

Comparing the relationship between our predictor and our outcome at low, mean and high levels of our moderator using SDs

Question 25

What does the Johnson-Neymon Interval do

Answer 25

Estimates the model of our predictor and outcome at lots of different values of our moderator

Question 26

What are the key pieces of information to report for a moderation

Answer 26

• The main effects
• The interaction effect
• Analysis if moderation was found