Testing for Mediation and Moderation using Mplus
Date:
29/09/2023
Organised by:
Falcon Training / Figure It Out
Presenter:
Dr Chris Stride
Level:
Intermediate (some prior knowledge)
Contact:
Chris Stride
07952210227
c.b.stride@sheffield.ac.uk
Venue: Online
Description:
Testing for Mediation and Moderation using Mplus
This course is promoted by Falcon Training
Who is the course aimed at?
This course is aimed at those with previous knowledge of Mplus who now wish to use the software to test models containing mediated (i.e. indirect) and/or moderated relationships between variables. As such it is an ideal follow on course for individuals or groups who have previously taken our introductory course in using Mplus for SEM, or have a basic working knowledge of the package (i.e. how to read data into the package, specify variable names, and build simple path models using the BY, ON and WITH commands and @ symbol).
Course level:
A basic knowledge of the Mplus language and the ideas behind SEM/Path Analysis will be advantageous to participants. No previous knowledge or experience with running mediation or moderation type models using Mplus software is assumed.
Course content and aims:
The course will cover the following topics:
- Introduction to mediated relationships - what are they and why do we need to test them?
- Methods for testing mediated relationships
- Testing for simple indirect effects using Mplus
- Testing multiple mediators
- Testing for mediation of curvilinear effects
- Introduction to moderated relationships - what are they and why do we need to test them?
- Methods for testing moderated relationships
- Testing moderated relationships using interaction terms
- Testing moderated relationships using multigroup models
- Testing moderated mediation models using MODEL CONSTRAINT
- Testing moderated mediation models using the newly extended MODEL INDIRECT: command
The course comprises of a couple of short lectures on the basic theory behind mediation and moderation, teaching via examples worked through by the trainer on real data sets which participants can follow, and exercises to practice the skills just learned. You will also receive a 70-page coursebook containing all the notes and worked examples, providing an easy reference for the basics of performing mediation and moderation testing in Mplus, and as a reminder for the techniques you have learned.
Course schedule: The course will start at 9.15am, with a lunch break from 1pm-2pm, and short coffee breaks at 11.30am and 3.30pm. It will finish at 5.30pm, though I will be willing to stay on for a while after this to answer questions pertinent to participants' own data sets.
The teacher:
Dr Chris Stride has been using MPlus in his work as a statistician and data manager for the last 20 years. He has particular experience and expertise in teaching non-statisticians from the fields of psychology, HR, management and the social sciences. Chris is a Chartered Statistician and a member of the ASSESS (UK SPSS Users' Group) Committee; and has run many training courses at the University of Sheffield, for the UK SPSS users group, at national and international conferences, and on an inhouse basis for Universities and the public sector.
Cost:
£250 waged / £175 students. Further discount for booking multiple courses.
Website and registration:
http://www.figureitout.org.uk/trainingcourses.htm
Region:
Greater London
Keywords:
Measurement Error, Variance estimation, Regression Methods, Linear regression, Longitudinal Data Analysis, Latent Variable Models, Principal components analysis, Factor analysis, Confirmatory factor analysis, Structural equation models, Quantitative Software, Mplus, SPSS, Mediation,Moderation,Moderated Mediation,Conditional Process Analysis,PROCESS macro,indirect effect
Related publications and presentations:
Measurement Error
Variance estimation
Regression Methods
Linear regression
Longitudinal Data Analysis
Latent Variable Models
Principal components analysis
Factor analysis
Confirmatory factor analysis
Structural equation models
Quantitative Software
Mplus
SPSS