Structural Equation Modelling in Mplus

Course code
Course fee
Course Level
Advanced Master
This course is closed and you can't apply anymore. Please check our other courses.

This course has already taken place in 2022. It will be available again in 2023.

If you expect to work with the software Mplus, this course can help you to get started!  This online course is a compact 1-day workshop introducing Mplus. We will focus on preparing data for Mplus, introducing common model syntax, avoiding common mistakes, interpreting output, and dealing with common error messages. Practice exercises demonstrate multiple regression and factor analysis models, which are the basis structural equation models in Mplus.

The workshop starts with a brief overview of structural equation modelling. Then, we will discuss how to import data into Mplus and how to specify a model using Mplus syntax. Participants are familiarised with the important parts of the input and output files. We will also discuss model fit indices, how to avoid common mistakes, and how to deal with error messages.

Please note that we only discuss very simple models: a basic regression model and a confirmatory factor analysis. If you’re interested in more complex models (e.g. latent class analysis, multilevel models, latent growth models), please take a look at our Mplus summer school courses taking place in July: Introduction to Structural Equation Modeling using Mplus and  Advanced course on using Mplus

This one-day workshop is not about analysing complex models: The main goal is to get you started with Mplus


Good working knowledge of multivariate analysis is assumed. Some knowledge of Structural Equation Modelling is helpful, not mandatory. If you want to prepare, you could read (not obligatory):

  1. Geiser, C. (2012). Data analysis with Mplus. Guilford press.
  2. Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.

Participants are requested to bring their own laptop for the computer examples. Access to Mplus, R and/or SPSS will be provided through MyWorkplace. However, the demo version of Mplus will be sufficient and can be downloaded from

Please note that there are no graded activities included in this course. Therefore, we are not able to provide students with a transcript of grades. You will obtain a certificate upon completion of this course.

For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.

Day-to-day programme (PDF)
Course director
Beth Grandfield


Beth Grandfield

Target audience

Research Master Students, PhD students or post-graduate researchers from a variety of fields will benefit from the course. A max. of 20 number of participant will be allowed in this course.

Aim of the course

The main objective of the course is to acquire a basic understanding of how to use Mplus.

Study load

One day (10.00 – 17.00). Lectures and computer lab exercises will be alternated during this informal one-day workshop.


Course fee:
Fee covers
Course + course materials
Extra information about the fee

Tuition fee for PhD students from the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by the Graduate School of Social and Behavioural Sciences.

Utrecht Summer School does not offer scholarships for this course.


Extra application information

Please include your motivation to make sure the course matches your expectations before the course starts.

More information

Irma Reyersen | E:

Recommended combinations


Application deadline: 
Registration deadline
17 January 2022