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A Note on Testing Mediated Effects in Structural Equation Models

https://doi.org/10.1177/0013164415618992
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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An Introduction to the Bootstrap
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Commentary on “Mediation analysis and categorical variables: The final frontier” by Dawn Iacobucci
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A comparison of methods to test mediation and other intervening variable effects.
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Statistical mediation analysis.
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Bayesian mediation analysis.
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Comparison of Approaches to Constructing Confidence Intervals for Mediating Effects Using Structural Equation Models
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Monte Carlo Confidence Intervals for Complex Functions of Indirect Effects
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Required Sample Size to Detect the Mediated Effect
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Robustness?
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Latent Variables in Psychology and the Social Sciences
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Testing Mediation in Structural Equation Modeling
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The Relative Trustworthiness of Inferential Tests of the Indirect Effect in Statistical Mediation Analysis
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Testing Mediation and Suppression Effects of Latent Variables
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An Introduction to the Bootstrap
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A Simulation Study of Mediated Effect Measures
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Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods
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Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
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Comparison of methods for constructing confidence intervals of standardized indirect effects
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Four applications of permutation methods to testing a single-mediator model
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Introduction to Statistical Mediation Analysis

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Additional file 1 of Estimation and inference for the mediation effect in a time-varying mediation model
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