Mediation and Moderation PHL 2012

Philadelphia, Pennsylvania
Friday, April 20, 2012
Mediation and Moderation PHL 2012
Friday, April 20, 2012 9:00 AM -
Saturday, April 21, 2012 5:00 PM (Eastern Time)

Temple University Center City
1515 Market St.
Philadelphia, Pennsylvania 19102
United States
Map and Directions
Mediation and Moderation
 
A 2-Day Seminar Taught by Andrew F. Hayes, Ph.D.

This seminar focuses on two topics in causal analysis that are closely related and often confused. Suppose we have three variables, X, M and Y. We say that M is a mediator of the effect of X on Y if X carries its influence on Y at least partly by influencing M, which then influences Y. This is also known as an indirect effect of X on Y through M. On the other hand, we say that M moderates the effect of X on Y if that effect varies in size, sign, or strength as a function of M. This is also known as interaction.

Although these concepts are fairly simple, the statistical issues that arise in estimating and testing mediation and moderation effects turn out to be rather complex and subtle. Andrew Hayes has been one of the leading contributors to the literature on these methods. Working with Kristopher Preacher, he has developed powerful new methods for estimating mediation and moderation effects and special software tools that can be used with SAS or SPSS.   

In this seminar, you will learn about the underling principles and the practical applications of these methods. The seminar is divided roughly into three parts:
  
1. Partitioning effects into direct and indirect components, and how to quantify and test hypotheses about indirect effects.
 
2. Estimating, testing, probing, and visualizing interactions in linear models.
 
3. Integrating moderation and mediation by discussing how to conceptualize and test for conditional indirect effects (moderated mediation) and whether moderated effects are mediated (mediated moderation).

Computer applications will focus on the use of OLS regression and several computational modeling tools for SPSS and SAS (such as PROCESS, MODPROBE, and INDIRECT).

Because this is a hands-on course, participants are strongly encouraged to bring their own laptops (Mac or Windows) with a recent version of SPSS Statistics (version 19 or later) or SAS (release 9.2 or later) installed. SPSS users should ensure their installed copy is patched to its latest release. SAS users should ensure that the IML product is part of the installation. You should have good familiarity with the basics of ordinary least squares regression (although an overview of OLS will be the first topic of the course), as well as the use of SPSS or SAS. You are also encouraged to bring your own data to apply what you’ve learned.

Who should attend

This course will be helpful for researchers in any field—including psychology, sociology, education, business, human development, political science, public health, communication—and others who want to learn how to apply the latest methods in moderation and mediation analysis using readily-available software packages such as SPSS and SAS. Participants should have a basic working knowledge of the principles and practice of multiple regression and elementary statistical inference. No knowledge of matrix algebra is required or assumed.

Location, materials

The course meets 9 a.m. to 5 p.m. on Friday, April 20 and Saturday, April 21 at Temple University Center City, 1515 Market Street, Philadelphia, PA.

Participants receive a bound manual containing detailed lecture notes (with equations and graphics), examples of computer printout, and many other useful features. This book frees participants from the distracting task of note taking. 

Registration and lodging

The fee of $795 includes all course materials.

A block of guest rooms has been reserved at  a local hotel. See the Lodging Tab at the top of this page for further details.

Course outline

1.  Overview of linear modeling principles
2.  A Path analysis primer: Direct, indirect, and total effects
3.  Estimation and inference in single mediator models
4.  Estimation and inference in parallel and serial multiple mediator models
5.  Moderation/interaction in OLS regression
6.  Probing and visualizing interactions
7.  Mediated moderation
8.  Moderated mediation


For information about other seminars go to
www.StatisticalHorizons.com
 

Contact Information

Payment Instructions

  • The fee of $795 covers all course materials.

    If you are paying by check, make the check out to Statistical Horizons LLC and send to

    Statistical Horizons LLC
    530 New Gulph Rd.
    Haverford, PA  19041

    If you want to pay by purchase order, please send a copy of the purchase order to the address above, or to 
    allison@statisticalhorizons.com    .

    Our Tax ID number is 26-4576270.
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