Advanced Quantitative Methods: Introduction to Structural Equation Modelling using Mplus (1 day school)

Code: FCS680 (0 Credits) FCS679 (5 Credits), Offered By: Social Sciences DTC

Social Sciences DTC Researchers Only

Booking opens Monday 10 April 2017


This course will take place on 26 May 2017, 9:00am to 5:00pm, Room G39A, Hicks Building.


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.

Pre-requisite knowledge and target audience

This course is designed for Social Science PhD students who have:

  • completed the Quantitative Methods Core Module (or have equivalent previous training),
  • have a clear understanding of multiple regression,

  • have a basic knowledge of Exploratory Factor Analysis


No previous knowledge or experience with SEM or with Mplus software is assumed.

Aims and Objectives

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

Teaching Methods

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.


Other Information

Session Length: 09.00am to 5.00pm (with a 45 minute lunch break and short mid-morning/afternoon breaks).


Other Information

This course will take place on 26 May 2017, 9:00am to 5:00pm, Room G39A, Hicks Building

Booking will open Monday 10 April 

Staff Contact

Chris Stride  

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