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.
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, to see whether this is the right course for you.
A good preparation for this course is our Summer School course 'Introduction to Structural Equation Modeling using Mplus' or any other one-week introduction SEM course.
Please note that there is always the possibility that we have to change the course pending COVID19-related developments. The exact details, including a day-to-day program, will be communicated 6 weeks prior to the start of the course.
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 that there is always a one-day delay between the registration system and the information on the website about the availability of places.
Aim of the course
The main objective of the course is to acquire an expert understanding of longitudinal models as applied in the social and behavioral sciences are analyzed using Mplus.
For an overview of all our summer school courses offered by the Department of Methodology and Statistics please click here.
The study load consists of five full days.
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.
You can choose between two options for participating in this course, but please note that there is always the possibility that we have to change the course pending COVID19-related developments:
- If you choose the livestream option, you will get a discount on the course fee since we will not provide lunch then. The lectures will be broadcasted in Central European Summer Time via a livestream (not recorded). Participants can ask questions via the chat which will be moderated by a second lecturer who will either directly answer your questions via the chat or ask your questions to the first lecturer during class. You will also receive online support during the group computer labs from our team. Additionally, Q&A sessions will be organised so you will benefit from our normal high level expertise while enjoying the class from the comfort of your own chair.
- If you choose the campus option, you will be able to attend the lectures and computer labs at our campus. Of course, we will follow all COVID19-guidelines that hold at the time of the start of your course. We will keep you updated about the newest developments (see also https://www.uu.nl/en/information-coronavirus). Note that, at the moment, it is unclear how many participants will be allowed in our lecture rooms. Therefore, if you register for the campus option, we will also register you for the livestream option such that you are guaranteed a spot via the livestream option (and at first, send an invoice for this option only). We will put you ‘on hold’ for the campus option until we have more information about how many participants are allowed in our lecture rooms. As soon as we hear from the university, we will contact you and send you a second invoice for the part of the fee related to catering and campus registration.
If you are interested in the campus option, let us know via a message in the application form under ‘Student Comment’.
The physical course costs €720, but if you participate via the livestream you will get a 100 euro discount. Note that if you choose the campus option, you will be asked to first pay the livestream-fee (€620) and, when we have permission from the university to actually organise classes on location, we will send a second invoice for the remainder of the fee. This way, you will be ensured to have at least a spot for the livestream.
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.
There are no scholarships available 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, 5-9 July). Please use the required motivation field to submit your motivation and/or send an email to firstname.lastname@example.org
Irma Reyersen | E: email@example.com