Path models are built up from basic models of moderation and/or mediation.
It is common in psychology for the terms moderator and mediator to be used interchangeably. However, they are conceptually different. In general terms, a moderator is a qualitative (e.g., sex, race class) or quantitative (e.g., level of reward) variable that affects the direction and or strength of the relation between an independent or predictor variable and a dependent or criterion variable.
Moderators are familiar in ANOVA where a basic moderator effect may be represented as an interaction between a focal independent variable and a factor that specifies the approximate conditions for its operation. It can be represented as a path diagram…
The moderator hypothesis is supported if the interaction (path c) is significant. There may also be significant main effects for the predictor and moderator (paths a and b) but these are not directly relevant conceptually to testing the moderator hypothesis.
It is desirable that the moderator variable be uncorrelated with both the predictor and the criterion to provide a clearly interpretable interaction term.
So, if the independent variable is personality similarity, the moderator is age difference and the dependent variable is marital satisfaction, and they are all continuous variables…
The marital satisfaction is regressed on predictor, moderator, and the predictor X moderator term. Moderator effects are indicated by the significant effect of the third term (personality similarity X age difference) while the other two terms are controlled for in the regression analysis.
For more details on procedures for testing moderation using multiple regression, see:
Miles, J. & Shelvin, M. (2001). Applying regression and correlation: A guide for students and researchers. London: Sage. Chapter 7: Moderator and mediator analysis.
In general, a variable may be said to act as a mediator to the extent that it accounts for the relation between the predictor and the criterion. Whereas moderator variables specify when certain effects will hold, mediators speak to how or why such effects occur.
Additional difference between moderators and mediators
Moderator variables always function as independent variables, whereas mediating events are viewed either as effects or as causes, depending on the stage of the mediational analysis.
That is, whereas a moderator and predictor are at the same level in regard to their role as causal variables antecedent to a criterion effect, a predictor is causally antecedent to the mediator.
Statistics Training: Introduction to Path Analysis
- 1. What is Path Analysis?
- 2. A Quick Review of Regression
- 3. Moderation and Mediation Explained
- 4. Example of the Difference between Moderation and Mediation
- 5. Example of a Basic Test of Mediation
- 6. Mediation Analysis: Procedures and Tests
- 7. Causal Steps to Establish Mediation: Step 1
- 8. Causal Steps to Establish Mediation: Step 2
- 9. Causal Steps to Establish Mediation: Steps 3 and 4
- 10. Barron and Kenny’s (1986) Criteria for Mediation
- 11. An Example of a Mediator Acting as a Suppressor
- 12. Testing for Significant Mediation
- 13. Sobel’s Test of Significant Mediation