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      On the Interpretation and Use of Mediation: Multiple Perspectives on Mediation Analysis

      review-article
      1 , 2 , 1 , 3
      Frontiers in Psychology
      Frontiers Media S.A.
      mediation, causation, total effect, direct effect, indirect effect

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          Abstract

          Mediation analysis has become a very popular approach in psychology, and it is one that is associated with multiple perspectives that are often at odds, often implicitly. Explicitly discussing these perspectives and their motivations, advantages, and disadvantages can help to provide clarity to conversations and research regarding the use and refinement of mediation models. We discuss five such pairs of perspectives on mediation analysis, their associated advantages and disadvantages, and their implications: with vs. without a mediation hypothesis, specific effects vs. a global model, directness vs. indirectness of causation, effect size vs. null hypothesis testing, and hypothesized vs. alternative explanations. Discussion of the perspectives is facilitated by a small simulation study. Some philosophical and linguistic considerations are briefly discussed, as well as some other perspectives we do not develop here.

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          Most cited references33

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          Equivalence of the mediation, confounding and suppression effect.

          This paper describes the statistical similarities among mediation, confounding, and suppression. Each is quantified by measuring the change in the relationship between an independent and a dependent variable after adding a third variable to the analysis. Mediation and confounding are identical statistically and can be distinguished only on conceptual grounds. Methods to determine the confidence intervals for confounding and suppression effects are proposed based on methods developed for mediated effects. Although the statistical estimation of effects and standard errors is the same, there are important conceptual differences among the three types of effects.
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            Process Analysis: Estimating Mediation in Treatment Evaluations

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              Yes, but what's the mechanism? (don't expect an easy answer).

              Psychologists increasingly recommend experimental analysis of mediation. This is a step in the right direction because mediation analyses based on nonexperimental data are likely to be biased and because experiments, in principle, provide a sound basis for causal inference. But even experiments cannot overcome certain threats to inference that arise chiefly or exclusively in the context of mediation analysis-threats that have received little attention in psychology. The authors describe 3 of these threats and suggest ways to improve the exposition and design of mediation tests. Their conclusion is that inference about mediators is far more difficult than previous research suggests and is best tackled by an experimental research program that is specifically designed to address the challenges of mediation analysis.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                15 November 2017
                2017
                : 8
                : 1984
                Affiliations
                [1] 1Department of Psychology, Ohio State University , Columbus, OH, United States
                [2] 2Division of Epidemiology, College of Public Health, Ohio State University , Columbus, OH, United States
                [3] 3Department of Psychology , KU Leuven, Leuven, Belgium
                Author notes

                Edited by: Mike W.-L. Cheung, National University of Singapore, Singapore

                Reviewed by: Jiun-Yu Wu, National Chiao Tung University, Taiwan; Michael Smithson, Australian National University, Australia

                *Correspondence: Robert Agler agler.24@ 123456osu.edu

                This article was submitted to Quantitative Psychology and Measurement, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2017.01984
                5694788
                29187828
                79334aaa-bb94-44ff-bff6-c4e05104e048
                Copyright © 2017 Agler and De Boeck.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 06 July 2017
                : 30 October 2017
                Page count
                Figures: 2, Tables: 2, Equations: 4, References: 52, Pages: 11, Words: 10036
                Categories
                Psychology
                Conceptual Analysis

                Clinical Psychology & Psychiatry
                mediation,causation,total effect,direct effect,indirect effect
                Clinical Psychology & Psychiatry
                mediation, causation, total effect, direct effect, indirect effect

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