Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium Communication Monographs Vol. 76, No. 4, December 2009, pp. 408420 Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium Andrew F. Hayes Understanding communication processes is the goal of most communication researchers. Rarely are we satisfied merely ascertaining whether messages have an effect on some outcome of focus in a specific context. Instead, we seek to understand how such effects come to be. What kinds of causal sequences does exposure to a message initiate? What are the causal pathways through which a message exerts its effect? And what role does communication play in the transmission of the effects of other variables over time and space? Numerous communication models attempt to describe the mechanism through which messages or other communication-related variables transmit their effects or intervene between two other variables in a causal model. The communication literature is replete with tests of such models. Over the years, methods used to test such process models have grown in sophistication. An example includes the rise of structural equation modeling (SEM), which allows investigators to examine how well a process model that links some focal variable X to some outcome Y through one or more intervening pathways fits the observed data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Communication Monographs Taylor & Francis

Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium

Hayes, Andrew F.
Communication Monographs , Volume 76 (4): 13 – Dec 1, 2009
Download PDF
13 pages

Loading next page...
 
/lp/taylor-francis/beyond-baron-and-kenny-statistical-mediation-analysis-in-the-new-5b8jGDPSry

References (47)

Publisher
Taylor & Francis
Copyright
Copyright National Communication Association
ISSN
1479-5787
eISSN
0363-7751
DOI
10.1080/03637750903310360
Publisher site
See Article on Publisher Site

Abstract

Communication Monographs Vol. 76, No. 4, December 2009, pp. 408420 Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium Andrew F. Hayes Understanding communication processes is the goal of most communication researchers. Rarely are we satisfied merely ascertaining whether messages have an effect on some outcome of focus in a specific context. Instead, we seek to understand how such effects come to be. What kinds of causal sequences does exposure to a message initiate? What are the causal pathways through which a message exerts its effect? And what role does communication play in the transmission of the effects of other variables over time and space? Numerous communication models attempt to describe the mechanism through which messages or other communication-related variables transmit their effects or intervene between two other variables in a causal model. The communication literature is replete with tests of such models. Over the years, methods used to test such process models have grown in sophistication. An example includes the rise of structural equation modeling (SEM), which allows investigators to examine how well a process model that links some focal variable X to some outcome Y through one or more intervening pathways fits the observed data.

Journal

Communication Monographs – Taylor & Francis

Published: Dec 1, 2009

There are no references for this article.