614 Mediation Analysis: Why Every Researcher Should Know It

Friday, April 26, 2013: 4:00 PM-5:15 PM
Convention Center: 201AB
RC/Measurement
Presider: Minsoo Kang, Middle Tennessee State University, Murfreesboro, TN
Speakers: Weimo Zhu, University of Illinois at Urbana-Champaign, Urbana, IL; and Elena Boiarskaia, University of Illinois at Urbana-Champaign, Urbana, IL
Many researchers have experienced the impact of unstudied/hidden variables during their studies. Without understanding the impact and taking these so-called mediation variables into the consideration of data analysis, the findings and conclusion from any study will likely be questionable. Fortunately, a set of statistical methods, known as the mediation analysis, has been developed to examine the impact of mediation variables. The purpose of this tutorial is to provide an introduction to this useful technique.
Mediation Variables and Mediation Analysis: What and Why?
Weimo Zhu, University of Illinois at Urbana-Champaign, Urbana, IL
Statistical Analysis of Mediation Variables: A Review
Elena Boiarskaia, University of Illinois at Urbana-Champaign, Urbana, IL
See more of: Research Consortium