A general model for testing mediation and moderation effects

Amanda J. Fairchild, David Mackinnon

Research output: Contribution to journalArticlepeer-review

558 Scopus citations


This paper describes methods for testing mediation and moderation effects in a dataset, both together and separately. Investigations of this kind are especially valuable in prevention research to obtain information on the process by which a program achieves its effects and whether the program is effective for subgroups of individuals. A general model that simultaneously estimates mediation and moderation effects is presented, and the utility of combining the effects into a single model is described. Possible effects of interest in the model are explained, as are statistical methods to assess these effects. The methods are further illustrated in a hypothetical prevention program example.

Original languageEnglish (US)
Pages (from-to)87-99
Number of pages13
JournalPrevention Science
Issue number2
StatePublished - Jun 2009


  • Indirect effect
  • Mediated moderation
  • Mediation
  • Moderated mediation
  • Moderation

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health


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