WK 8 Flashcards

1
Q

What is mediation?

A

Mediation is when a predictor X, has an effect on an outcome Y, via a mediating variable M

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What does the mediator do?

A

The mediator transmits the effect of X to Y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What is moderation?

A

Moderation is when a moderator z modifies the effect of X on Y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

What is the indirect effects of X on Y?

A

The indirect effects of X on Y are those transmitted via the mediator

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

What is the direct effect of X on Y?

A

The direct effect of X on Y is remaining effect of X on Y

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

What are the limitations of traditional methods for mediation?

A
  • low power
  • very cumbersome for multiple mediators, predictors, or outcomes
    -you don’t get an estimate of the magnitude of the indirect effect
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

What can the total effect be interpreted as?

A

The total effect can be interpreted as the unit increase in Y expected to occur when X increases by one unit.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

What can the indirect effect be interpreted as ?

A

The indirect effect can be interpreted as the unit increase in Y expected to occur via M when X increases by one unit

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

What can the direct effect be interpreted as?

A

The direct effect can be interpreted as the unit increase in Y expected to occur with a unit increase in X over and above the increase transmitted by M

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

What is the assumption with assessing statistical significance of indirect effects?

A

Assume normal sampling distribution

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Why code the total effect in lavaan?

A

We can assess the statistical significance of the total effect

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Why is it useful to code the total effect in lavaan?

A

It is useful because sometimes the direct and indirect effects are not individually significant but the total effect it.

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

What is proportion mediation?

A

how much of the total effect is taken up by the indirect effect

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

What is an assumption of path analysis models?

A

Assumption that the paths represent causal effects

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

How do you do path analysis in R?

A

using the sem() function

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What does pairs.panels() do?

A

produce graph to look at the marginal distribution

17
Q

What is the direct effect of X on Y?

A

The direct effect of X on Y is remaining effect of X on Y