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Mediation (statistics)

In statistics, a mediation model seeks to identify and explain the mechanism or process that underlies the relationship between an independent variable and a dependent variable, through the inclusion of a third hypothetical variable known as a mediator variable (also referred to as an intermediate variable or intervening variable).

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Criticisms of mediation measurement

Construct validityModeration
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Other third variables

Causal modelConfoundersSuppressor variablePredictive validityModerators
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Baron and Kenny's (1986) steps for mediation analysis

University of ConnecticutReuben M. BaronDavid A. KennyAbsolute valueMultiple regression analysis
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Baron and Kenny's (1986) steps for mediation analysis

Example

Full mediation versus partial mediation

Sobel's test

Preacher–Hayes bootstrap method

Significance of mediation

Criticisms of mediation measurement

Other third variables

Moderated mediation

Causal mediation analysis

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Mediation (statistics)

Nodes38
Edges37
Triples1
Avg. degree1.95
Density0.052632
Components1

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mediation variable independent relationship mediator effect dependent variables moderation one causal direct analysis effects indirect must regression significant path model

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SubjectPredicateObjectConfidenceSrc
the Sobel testinstance ofIt is becoming increasingly more difficult to publish tests of mediation based purely on the Baron and Kenny method or tests that make distributional assumptions0.80text

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