Journal Articles

Adjusting for a Mediator in Models With Two Crossed Treatment Variables

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In a simple mediation model, the effect of a manipulated variable X on a dependent variable Y over and above the effect
of the mediator Me can be estimated by regressing Y on X and Me. The impact of X on Y in such a model is adjusted
for the relationship both between X and Me and between Me and Y. The authors examine the adjustment function in
the context of a 2 x 2 design with two manipulated variables. In such a situation, the mediator could be affected by either one of the main effects and/or the interaction between two manipulated variables. To adjust for the impact of the mediator, a standard procedure has been to rely on an ANCOVA that includes only the mediator. The authors show, both analytically and with simulations, that this leads to improper control of the mediator and to biased estimates of the model parameters.

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Detail Information

Series Title

Organizational Research Methods

Call Number

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Publisher

California : Sage Publications., 2008

Collation

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Language

English

ISBN/ISSN

1094-4281

Classification

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Content Type

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Media Type

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Carrier Type

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Edition

Vol. 11, No. 2, Page 224-240

Subject(s)

mediation
ANCOVA
adjustment
regression

Specific Detail Info

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Statement of Responsibility

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