Advanced Course on using Mplus
Faculty of Social and Behavioural Sciences
13 July 2020
17 July 2020
Utrecht, The Netherlands
This is a five-day course on structural equation modeling (SEM) using Mplus. If you already know how to analyse your data in Mplus but want to learn more about what you are actually doing, and especially if you want to know more about advanced longitudinal analyses, this course is for you. The course consists of in-depth lectures on the fundamentals of Mplus and advanced longitudinal models.
Download the day-to-day programme (PDF)
Many researchers in the social and behavioral sciences are using, or want to use, Structural Equation Modelling (SEM) to investigate their theories. Mplus is a popular and flexible software package for doing SEM. If you already know how to analyse your data in Mplus but want to learn more about what you are actually doing and especially about diverse forms of longitudinal analyses, this 5-day course is for you.
During the first day we focus on the formulas behind SEM, how to calculate the number of parameters and degrees of freedom by hand as a useful way of model checking, how to interpret the TECH1 output, when to worry about the default settings in Mplus, model parameterization, and model fit. In the following four days diverse longitudinal models are discussed, including recent development with respect to cross-lagged panel models, the latent difference/change score models, latent growth curve models, latent class growth models, latent transition analysis, and dynamic structural equation models. Participants obtain hands-on experience with these topics and models during computer labs.
For this course we assume participants have Mplus experience and basic SEM knowledge (but you do not need to know matrix algebra, calculus, or likelihood theory). After registration, we will ask you to briefly describe your SEM and Mplus experience as well as your expectations from this course, in order to see whether this is the right course for you.
Please note that there are no graded activities included in this course. So we will not be providing students with a transcript of grades.
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here
Dr. Rebecca Kuiper
Prof. Dr. Ellen Hamaker, Dr. Caspar van Lissa, Jeroen Mulder
(Research) master students or (post-graduate) researchers who already use Mplus and/or followed a multiple-day introduction into Mplus, for example the USS course ‘Introduction to Structural Equation Modeling using Mplus’. Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication sciences, may benefit from the course. A maximum of 80 participants will be allowed in this course. The selection for this course will be done on a first-come-first-served basis. Please note: there is always a one-day delay between the registration system and the information on the website about the availability of places.
The main objective of the course is to acquire an expert understanding of how longitudinal models as applied in the social and behavioral sciences are analyzed using Mplus.
Course + course materials
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.
Utrecht Summer School does not offer scholarships for this course.
You have registered for the ‘Advanced course on using Mplus’. Could you please (briefly) describe what experience you have with SEM and Mplus, and what your expectations from this course are? We use this information to see whether we believe this is the right course for you. As soon as we receive your description we will consider your registration. If you have no experience with using Mplus we kindly refer you to our Summer School course ‘Introduction to Structural Equation Modelling using Mplus’ (S20) (8-12 July). Please use the required motivation field to submit your motivation and/or send an email to firstname.lastname@example.org
Introduction to Structural Equation Modeling using Mplus
26 June 2020