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      Advantages of Monte Carlo Confidence Intervals for Indirect Effects

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      Publication date Created:
      Publication date (Print):
      Journal: Communication Methods and Measures
      Publisher: Informa UK Limited

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          Conceptualizing and testing random indirect effects and moderated mediation in multilevel models: new procedures and recommendations.

          Daniel Bauer, Kristopher J Preacher, Karen M Gil (2006)
          The authors propose new procedures for evaluating direct, indirect, and total effects in multilevel models when all relevant variables are measured at Level 1 and all effects are random. Formulas are provided for the mean and variance of the indirect and total effects and for the sampling variances of the average indirect and total effects. Simulations show that the estimates are unbiased under most conditions. Confidence intervals based on a normal approximation or a simulated sampling distribution perform well when the random effects are normally distributed but less so when they are nonnormally distributed. These methods are further developed to address hypotheses of moderated mediation in the multilevel context. An example demonstrates the feasibility and usefulness of the proposed methods.
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            Nonparametric estimates of standard error: The jackknife, the bootstrap and other methods

            Bradley Efron, Marcelo Saad (1981)
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              Bayesian mediation analysis.

              Ying-Yuan Mok, Colum MacKinnon (2009)
              In this article, we propose Bayesian analysis of mediation effects. Compared with conventional frequentist mediation analysis, the Bayesian approach has several advantages. First, it allows researchers to incorporate prior information into the mediation analysis, thus potentially improving the efficiency of estimates. Second, under the Bayesian mediation analysis, inference is straightforward and exact, which makes it appealing for studies with small samples. Third, the Bayesian approach is conceptually simpler for multilevel mediation analysis. Simulation studies and analysis of 2 data sets are used to illustrate the proposed methods. (PsycINFO Database Record (c) 2009 APA, all rights reserved).
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                Author and article information

                Journal
                Title: Communication Methods and Measures
                Abbreviated Title: Communication Methods and Measures
                Publisher: Informa UK Limited
                ISSN (Print): 1931-2458
                ISSN (Electronic): 1931-2466
                Publication date Created: April 2012
                Publication date (Print): April 2012
                Volume: 6
                Issue: 2
                Pages: 77-98
                Article
                DOI: 10.1080/19312458.2012.679848
                SO-VID: 4db20234-d37a-4626-8219-e0aebda0b868
                Copyright © © 2012
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