If you expect to work with the software Mplus, this course can help you to get started!
The workshop starts with a short recap on 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. Also, we will 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 (see Recommended Combinations below). This one-day workshop is not about analyzing complex models: The main goal is to get you started.
Good working knowledge of multivariate analysis is assumed. Some knowledge of Structural Equation Modeling is helpful, not mandatory. If you want to prepare, you could read (not obligatory):
- Geiser, C. (2012). Data analysis with Mplus. Guilford press.
- Byrne, B. M. (2013). Structural equation modeling with Mplus: Basic concepts, applications, and programming. Routledge.
A max. of 20 number of participant will be allowed in this course.
Lectures and computer lab exercises will be alternated during this informal one-day workshop.
Tuition fee for PhD candidates from the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by the Graduate School of Social and Behavioural Sciences.
This opportunity has expired. It was originally published here: