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Basic Techniques and New Developments in Statistical Mediation and Moderation 2017-06-22T18:01:03+00:00

Basic Techniques and New Developments in Statistical Mediation and Moderation

Session 1: May 1 – 3, 2017
Lisbon, Portugal
DoubleTree by Hilton Lisbon – Fontana Park

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Student/Post-DocFaculty/Professional

Statistics Course Objectives

The 2.5 day training institute on Structural Equation Modeling will enable participants to:

  • Mediation and Moderation
  • How To-Do Mediation
  • Sobel’s Test
  • Confidence Interval
  • Botstrapping
  • Use in Experimental Design
  • Latent Variable Mediation
  • and more…

Course Syllabus

Monday May 1st – Day 1) Mediation
Starts at 9am
Orientation to mediation and moderation: the ‘how’ and the ‘who’
Similarities and differences in mediation and moderation
Definition of mediation
A brief history of mediation
How to do basic mediation
Sobel’s test, confidence interval, bootstrapping
Lunch Break 12:30 – 1:30
Effect size of indirect effect
Mediation in experimental design
Logistic mediation
Suppressor effects
Multiple mediators
Latent variable mediation
Longitudinal mediation: causal arguments and longitudinal data
Mediation in SEM
Mediation in multi-level modelling
Mediation involving a quadratic term
Ends 5pm

Tuesday May 2nd – Day 2) Moderation
Starts at 9am
Definition of moderation
How to do (continuous) moderation in regression
Centering?
The importance of graphing
Categorical moderation
Lunch Break 12:30 – 1:30
Simple slopes
Exacerbator, buffer, enhancer, and damper
Multiple moderation
Moderation in longitudinal data
Latent variable moderation (Xwith in Mplus)
Moderation in multi-level modelling
Quadratic moderation vs. moderation of a quadratic
Ends 5pm

Wednesday May 3rd – Day 3) Conditional process analysis
Starts at 9am
Mediated moderation and moderated mediation in OLS (Hayes’ PROCESS)
Mediated moderation and moderated mediation in SEM
Conclusion at 12:30

 

Why Should You Attend?

  • Get 1 on 1 Consultation With Instructor
  • Professional Networking
  • Peer Socializing
  • Collaboration
  • All Course Resources
  • Breakfast (For Students Staying At Venue Hotel)
  • Lunch, and All-Day Tea/Coffee/Snack Service
  • After Class Networking Mixers

Statistical Methods Course Description

Overview: This course will cover the basics of doing statistical mediation and moderation, and then move on to explain and demonstrate sophisticated variants of both techniques (e.g., longitudinal mediation) as well as new developments in the field (e.g., bootstrapping, conditional process analysis).

This course will cover the basics of doing statistical mediation and moderation, and then move on to explain and demonstrate sophisticated variants of both techniques (e.g., longitudinal mediation) as well as new developments in the field (e.g., bootstrapping, conditional process analysis). Clear explanations of the statistical bases of these analyses will be tied with demonstrations of how to create and run models on several platforms (e.g., ordinary regression, SEM, and multi-level modelling). It is important that students have a good working knowledge of multiple regression. The instructor will demonstrate examples in two different structural equation modelling (SEM) programs (i.e., Amos and Mplus), as well as in multi-level modelling (i.e., HLM), but it is not essential that the student be familiar with these programs.

Instructor: Paul Jose

Dr. Paul Jose received his PhD in developmental psychology from Yale University in 1980. Since then he has taught and performed research on the topic of developmental psychopathology, and more recently, positive psychology. In addition, he has taught research methods and statistics at both the undergraduate and graduate levels for more than 35 years, and he has offered numerous workshops on a range of topics in methodology and statistics. Guilford Press published his book, Doing statistical mediation and moderation, in 2013, and he has a new paper coming out in Educational Psychologist (2016) entitled “The merits of using longitudinal mediation”.

Software and Computer Support

It is not essential that you bring the following software programs, but all are recommended. If you do not have any of these programs, you will still be able to follow the demonstrations, either as presented by the instructor or watching over the shoulder of someone who does have the program.

1) PROCESS: Be aware that to use this program, one must already have either SPSS or SAS loaded onto your computer. This is not a stand-alone program. Please go to this site and download PROCESS onto your computer: http://processmacro.org/index.html

2) ModGraph: This app exists in two forms: as an Excel-based downloadable macro or it can be accessed on-line at: https://psychology.victoria.ac.nz/modgraph/modgraph.php You may wish to download the Excel version to have on your computer in case we don’t have reliable access to the internet in the classroom.

3) Amos (linked with SPSS) would be helpful to have loaded on your laptop computer as well. Several examples presented in class will involve Amos.

4) Mplus would also be helpful to have loaded on your laptop. I will present several examples involving Mplus syntax during the course.

Basic Techniques and New Developments in Statistical Mediation and Moderation