2007
DOI: 10.1080/00273170701341316
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Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions

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 po… Show more

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Cited by 8,245 publications
(7,224 citation statements)
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References 49 publications
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“…To examine the mediation effect, we applied the procedure described by Taylor, MacKinnon, and Tein (2008) and used bootstrapping techniques to test for the indirect relationship directly. Finally, to inspect the conditional and unconditional indirect effects, we used a procedure similar to the one described by Preacher, Rucker, and Hayes (2007) for regression analyses, and tested several additional SEM models with low (Ϫ1 SD) and high (ϩ1 SD) deviation of the moderator. Table 1 shows the intercorrelations and descriptives (mean and SDs) of the study's variables.…”
Section: Analytical Techniquesmentioning
confidence: 99%
“…To examine the mediation effect, we applied the procedure described by Taylor, MacKinnon, and Tein (2008) and used bootstrapping techniques to test for the indirect relationship directly. Finally, to inspect the conditional and unconditional indirect effects, we used a procedure similar to the one described by Preacher, Rucker, and Hayes (2007) for regression analyses, and tested several additional SEM models with low (Ϫ1 SD) and high (ϩ1 SD) deviation of the moderator. Table 1 shows the intercorrelations and descriptives (mean and SDs) of the study's variables.…”
Section: Analytical Techniquesmentioning
confidence: 99%
“…Lastly, we also tested a model of moderated mediation (Preacher, Rucker, and Hayes, 2007), which examined whether the mediation process by error rates remains constant across different weather conditions. On rainy days, when error rates were entered as a mediator, exposure to outside options no longer predicted productivity (from β=.0029, p=.02 to β=.0017, n.s.…”
Section: Effects Of Exposure To Outside Options and Weather Conditionmentioning
confidence: 99%
“…the mean number of days that students stayed in school for lunch) was mediated by changes in the targeted psychosocial variables (M). A bootstrapping procedure (5000 bootstrap samples) was applied (42)(43)(44)(45) controlling for key covariates (age, past behaviour, means of psychosocial variables at baseline) according to the SAS macro procedure proposed by Preacher and Hayes (46) . The given a, b, c and c 0 paths represent respectively the unstandardized regression coefficients of the effect of the intervention on the mediator (a), the direct effect of the mediator on the outcome (b), the total effect of the intervention on the outcomes (c) and the direct effect of the intervention on the outcome (c 0 ).…”
Section: Resultsmentioning
confidence: 99%