Addressing moderated mediation hypotheses: Theory, methods, and prescriptions

Kristopher J. Preacher*, Derek D. Rucker, Andrew F. Hayes

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5191 Scopus citations

Abstract

This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated mediation and describe approaches for estimating and testing a variety of hypotheses involving conditional indirect effects. We introduce standard errors for hypothesis testing and construction of confidence intervals in large samples but advocate that researchers use bootstrapping whenever possible. We also describe methods for probing significant conditional indirect effects by employing direct extensions of the simple slopes method and Johnson-Neyman technique for probing significant interactions. Finally, we provide an SPSS macro to facilitate the implementation of the recommended asymptotic and bootstrapping methods. We illustrate the application of these methods with an example drawn from the Michigan Study of Adolescent Life Transitions, showing that the indirect effect of intrinsic student interest on mathematics performance through teacher perceptions of talent is moderated by student math self-concept.

Original languageEnglish (US)
Pages (from-to)185-227
Number of pages43
JournalMultivariate Behavioral Research
Volume42
Issue number1
DOIs
StatePublished - 2007

ASJC Scopus subject areas

  • Statistics and Probability
  • Experimental and Cognitive Psychology
  • Arts and Humanities (miscellaneous)

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