2013
DOI: 10.1111/bmsp.12028
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Statistical mediation analysis with a multicategorical independent variable

Abstract: Virtually all discussions and applications of statistical mediation analysis have been based on the condition that the independent variable is dichotomous or continuous, even though investigators frequently are interested in testing mediation hypotheses involving a multicategorical independent variable (such as two or more experimental conditions relative to a control group). We provide a tutorial illustrating an approach to estimation of and inference about direct, indirect, and total effects in statistical m… Show more

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Cited by 2,448 publications
(2,004 citation statements)
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References 70 publications
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“…Through a bootstrapping analysis (5000 samples) utilizing the MEDIATE macro (Hayes & Preacher, 2014), I tested a model with education level as independent variable, conspiracy beliefs as dependent variable, and powerlessness, subjective social class, and belief in simple solutions as parallel mediators. Gender, age, and income were again included as control variables.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Through a bootstrapping analysis (5000 samples) utilizing the MEDIATE macro (Hayes & Preacher, 2014), I tested a model with education level as independent variable, conspiracy beliefs as dependent variable, and powerlessness, subjective social class, and belief in simple solutions as parallel mediators. Gender, age, and income were again included as control variables.…”
Section: Resultsmentioning
confidence: 99%
“…I then analyzed the same mediational model as in Study 1 through the SPSS Mediate macro (Hayes & Preacher, 2014), with gender and age as control variables. The model is depicted in Figure 2.…”
Section: Resultsmentioning
confidence: 99%
“…Given that the availability of only two level-2 clusters (2 research sites) precludes multilevel modeling analyses (Hox, 1998;Hox, Moerbeek, Kluytmans, & van den Schoot, 2014), and given that we entertained (Tables S1, S2, & S3), for which standardization was done for each site. We conducted meditational analyses and tested the indirect effects, using the MEDIATE macro for the SPSS statistical package (Hayes & Preacher, 2014). We adopted an alpha level of .05 throughout.…”
Section: Data Analysesmentioning
confidence: 99%
“…As the independent variable -illness severity -was a categorical variable with three levels, two dummy-coded variables (D1 and D2) were created for the purpose of multiple meditation analysis [32]. In this study, young people whose seizures were effectively controlled with AED (Moderate) was the reference category.…”
Section: Multiple Mediation Analysismentioning
confidence: 99%
“…Hayes and Preacher [32] appended the term relative to describe total, direct and indirect effects in multiple mediation models with a multi-categorical independent variable, as it quantifies the effect of being in one group relative to the reference category. Point estimates and confidence intervals of relative indirect effects (total and specific) were estimated from 10,000 bootstrapped samples.…”
Section: Multiple Mediation Analysismentioning
confidence: 99%