If you expect to work with the software Mplus, this course can help you to get started! This one-day workshop is a compact introduction to Mplus. It covers data preparation, model syntax, common errors, output interpretation, and error handling.
This online workshop starts with a brief overview of structural equation modeling. Then, we will discuss how to import data into Mplus and how to specify a model using Mplus syntax. Participants are familiarized 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.
Practice exercises include multiple regression and factor analysis, key foundations for structural equation models in Mplus.
Please note that we only discuss very simple models: a basic regression model and a confirmatory factor analysis. If you are interested in more complex models (e.g., latent class analysis, multilevel models, latent growth models), please look at our Mplus summer school course Introduction to Structural Equation Modeling using Mplus and Advanced longitudinal modeling in Mplus.
This one-day workshop is not about analyzing complex models: The main goal is to get you started with Mplus
Prerequisites:
Good working knowledge of multivariate analysis is assumed. Some knowledge of Structural Equation Modeling is helpful but not mandatory.
If you have no experience with SEM, please review the following paper: Hox, J. J. & Bechger, T.M. (2007). An introduction to structural equation modelling. Family Science Review, 11, 354-373. Accessible via https://www.joophox.net/publist/semfamre.pdf
The demo version of Mplus will be sufficient for the workshop exercises and can be downloaded from https://www.statmodel.com/demo.shtml. Participants can also use their own version of the software as well.
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 workshop.
Beth Grandfield
Research Master Students, PhD students or post-graduate researchers from a variety of fields will benefit from the course.
A maximum of twenty participants will be allowed to this course.
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.
We also offer tailor-made M&S courses and in-house M&S training. If you want to look at the possibilities, please contact Dr. Laurence Frank at pe.dsai@uu.nl.
The main objective of the course is to acquire a basic understanding of how to use Mplus.
One day. Lectures and computer lab exercises will be alternated during this informal one-day workshop.
PhD students from the Faculty of Social and Behavioural Sciences at Utrecht University have the opportunity to attend three Winter/Summer School courses funded by the Graduate School of Social and Behavioural Sciences. Additionally, they may choose to take as many courses as they wish at their own expense from their personal budget.
There are no scholarships available for this course.
