Abstract

Analyses designed to detect mediation and moderation of treatment effects are increasingly prevalent in research in psychology. The mediation question concerns the processes that produce a treatment effect. The moderation question concerns factors that affect the magnitude of that effect. Although analytic procedures have been reasonably well worked out in the case in which the treatment varies between participants, no systematic procedures for examining mediation and moderation have been developed in the case in which the treatment varies within participants. The authors present an analytic approach to these issues using ordinary least squares estimation.

Keywords

ModerationMediationPsychologyAffect (linguistics)Ordinary least squaresEconometricsSocial psychologyStatisticsMathematicsSocial scienceSociology

Affiliated Institutions

Related Publications

Least Median of Squares Regression

Abstract Classical least squares regression consists of minimizing the sum of the squared residuals. Many authors have produced more robust versions of this estimator by replaci...

1984 Journal of the American Statistical A... 3497 citations

Publication Info

Year
2001
Type
article
Volume
6
Issue
2
Pages
115-134
Citations
817
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

817
OpenAlex

Cite This

Charles M. Judd, David A. Kenny, Gary H. McClelland (2001). Estimating and testing mediation and moderation in within-subject designs.. Psychological Methods , 6 (2) , 115-134. https://doi.org/10.1037/1082-989x.6.2.115

Identifiers

DOI
10.1037/1082-989x.6.2.115