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Related Experiment Video

Updated: Jul 5, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

A graphical representation of the mediated effect.

Matthew S Fritz¹, David P MacKinnon

¹Department of Psychology, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061, USA. matt.fritz@vt.edu

Behavior Research Methods

|April 17, 2008

Summary

Graphical methods for mediation analysis can enhance understanding and communication of results. This study introduces plots for mediated effects in various mediation models, aiding researchers in interpreting complex findings.

Related Experiment Videos

Last Updated: Jul 5, 2026

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Characterization of the Sense of Agency over the Actions of Neural-machine Interface-operated Prostheses

Published on: January 7, 2019

Area of Science:

Social Sciences
Statistics
Psychology

Background:

Mediation analysis is a common statistical technique in social sciences.
Traditional methods often rely solely on structural path diagrams.
Visualizing mediated effects can improve comprehension and dissemination of results.

Purpose of the Study:

To present a novel method for creating and interpreting plots of mediated effects.
To enhance the understanding and communication of mediation analysis outcomes.
To provide practical tools for researchers using mediation models.

Main Methods:

Development of a graphical method for visualizing mediated effects.
Application to mediation models with dichotomous and continuous independent variables.
Inclusion of models with interaction effects between variables.

Main Results:

Demonstration of plots for mediated effects across different mediation model types.
An empirical example illustrating the practical application of the plotting method.
Provision of sample code in R and SAS for generating these plots.

Conclusions:

Graphical plots of mediated effects offer a valuable supplement to traditional mediation analysis.
These visualizations facilitate deeper insights into complex mediation processes.
The proposed method and accompanying code enhance the accessibility and utility of mediation analysis in research.