Baron & Kenny (1986) The moderator-mediator variable distinction

14 important questions on Baron & Kenny (1986) The moderator-mediator variable distinction

Two functions of third variables are often confused

1. Moderator function > which partitions a focal indepedent variable into subgroups that establish its domain of maximal effectiveness in regard to given depedent variable
2. Mediator function > which represents the generative mechanism through which the focal independent variable is able to influence the dependent variable of interest

When will a moderator effect within a correlational framework occur

Where the direction of the correlation changes independently.

within ANOVA, a basic moderator effect can be represented as an interaction between a focal varible and a factor that specifies the appropriate conditions for its operation
moderator interaction effect also would be said to occur if a relation is substantially reduced insted of being reversed

What is the general procedure for testing moderation

1. Estimate model with main effects and interaction term
2. Evaluate moderation hypothesis
3. Perform follow up analysis to interpret interaction (if statistically significant)
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Testing moderation, what does this depend on

On the predictor (X), outcome (Y) & moderator (Z)

When do we use multiple linear regression in moderation

If X, Z and Y are continuous
or
if X and/or Z are categorical and Y is continuous

Age as moderator; is RP relationship quality associated with depression for older and younger adolescents?

how would you research this in steps?

step 1)
- Identify Ms of both predictors
- Then subtract Ms from each individual score
- So you now have centered scores for relationship quality and age.
Step 2)
- Multiply the two centered scores to create the interaction
Step 3)
- Perform the MLinR
Step 4a) calculate simple slopes



Step 4b) identify H/L values of Z
Identify high and low values for z (moderator).
Step 4C) calculate simple slopes for H/L values of moderator (z)
Step 4D) calculate points to plot by solving for predictor values
Step 4e) test simple slopes

When do we use linear regression with modulation

If X and Y are continuous and Z is categorical

or


When Y is categorical

What happens when Y is categorical at moderation

- The interpretation slightly differs when the outcome is categorical > these models predict the likelihood of group membership
- And X and Z are continuous
Using the centered scores of X and Z, include both predictors as well as the interaction
- And X is continuous and Z is categorical
Using the centered scores of X and the coded scores of Z, include both predictors as well as the interaction

When are moderators typically measured

At the same time as predictors
important distinction with mediators

What does mediator variable serve

To clarify the nature of the relationship between the IV and DV by examining causal mechanisms (processes) that explain the IV-DV relationship

What are the mediation design issues

o Proximal and distal mediation
Mediator could be chosen too close in time to X or Y
o Reverse causal effects (alternative models)
o Omitted variables
o Moderated mediation/ mediated moderation?

What does the mediation describe

Indirect effects and is used to examine causal mechanism

How is mediation tested

- sobel test of preferably with bootstrapping methods

Implications and applications of the moderator- mediator distinction

- clarifying meaning of control
- behavior intention behavior relation
- linking the global dispositions to behavior; attitudes and traits

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