Multivariate Behavioral Research· 2015Q1
An Index and Test of Linear Moderated Mediation
- 3,805citations
- Q1SCImago
- 2015year
Short summary
A new index and test for linear moderated mediation is introduced, allowing researchers to estimate and test the significance of how a moderator affects an indirect effect in path analysis.
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Key points
- Introduces an 'index of moderated mediation' to quantify the effect of a moderator on an indirect effect.
- Provides a test based on an interval estimate of this index to assess statistical significance.
- Applicable to linear moderated mediation models, including those with multiple parallel or serial mediators.
- Generalizable to latent variable models and illustrated with empirical examples using Mplus and PROCESS macro.
AI-generated from the title and abstract; the full text is not read.
Abstract
I describe a test of linear moderated mediation in path analysis based on an interval estimate of the parameter of a function linking the indirect effect to values of a moderator—a parameter that I call the index of moderated mediation. This test can be used for models that integrate moderation and mediation in which the relationship between the indirect effect and the moderator is estimated as linear, including many of the models described by Edwards and Lambert (2007 Edwards, J.R., & Lambert, L.S. (2007). Methods for integrating moderation and mediation: A general analytical framework using moderated path analysis. Psychological Methods, 12, 1–22.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]) and Preacher, Rucker, and Hayes (2007 Preacher, K.J., Rucker, D.D., & Hayes, A.F. (2007). Assessing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42, 185–227.[Taylor & Francis Online], [Web of Science ®] , [Google Scholar]) as well as extensions of these models to processes involving multiple mediators operating in parallel or in serial. Generalization of the method to latent variable models is straightforward. Three empirical examples describe the computation of the index and the test, and its implementation is illustrated using Mplus and the PROCESS macro for SPSS and SAS.
The authors' abstract, as published at the source. Multivariate Behavioral Research, 2015 · DOI ↗
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Field: Statistics and Probability
Statistics and ProbabilityMathematics