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Statistical and Data Management Training Courses available on an inhouse basis:
Introduction to Structural Equation Modelling using Mplus
Who is the course aimed at?
This course is aimed at two distinct groups; those seeking a beginners'
course in Path Analysis techniques such as Structural Equation Modelling (SEM) and Confirmatory Factor Analysis (CFA); and those with some previous experience of Structural Equation Modelling who wish to learn to use the powerful and elegant Mplus software, which can be employed in an incredibly wide range of model fitting scenarios.
Course level:
A basic knowledge of Exploratory Factor Analysis and the ideas behind
multiple regression analysis will be advantageous to participants. No previous knowledge or experience with SEM or the Mplus software is assumed.
Course content and aims:
The course will cover the following topics:
Introduction to Path Analysis - what is it and why do we need it?
Assessing the fit of a Structural Equation Model
Comparing competing Structural Equation Models
Preparing and importing data into Mplus from SPSS
Getting started with analysis in Mplus - the basics of the software
Fitting a simple Confirmatory Factor Analysis in Mplus
Fitting a simple Structural Equation Model in Mplus
Testing for indirect effects in Structural Equation Models
Fitting Structural Equation Models with missing data
Including Categorical variables in Structural Equation Models
Multiple group analysis
The course comprises of a mixture of short lectures on the
basic theory behind Structural Equation Models, 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 SEM in Mplus, and as a reminder for the techniques you have learned.
Course timings:
The course fits into a full day, starting at 9.15am and finishing at around 5.30pm,
with a 45 minute lunch break, and short mid-morning and afternoon coffee breaks.
Transport timings for my return journey permitting, I am always willing to stay on for a while after the end of the course 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 15 years. He has particular experience and expertise
in teaching non-statisticians from the fields of psychology, HR, management
and the social sciences. He is a member of the ASSESS (UK SPSS Users Group) Committee,
and runs courses for ASSESS, inhouse courses at UK Universities and
public sector institutions and public training courses based at the University of Sheffield.
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