Attending the course turned out to be the best decision I ever made. The course has indeed provided me with the knowledge and skills necessary to analyze my data and turn them into meaningful causal models. Advanced topics such as mixture modeling, which I thought I’d never ever grasp, was made very simple. In sum, the course was awesome and enjoyable and I would highly recommend it.

Before starting on the course I didn’t know anything about SEM or MPlus. By the end of the course I felt confident enough to try these techniques on my own data. It was a very supportive and flexible course taught by a very knowledgeable tutor.

The most useful course I went to. If you want to start working with Mplus, I strongly recommend taking this course. Everything is right: the pace, the reasonable size of the group, the theory kept to a bearable amount and the multiple applications and examples to get hands on the data analysis straight away. Gabriela makes sure everyone follows and is not stuck before moving on, so that we actually learn and apply the new knowledge straight away. I started using Mplus for longitudinal data analysis (latent growth curve modelling) for my own research after the course and the course material is my bible – I am referring to it all the time!

I really enjoyed the Mplus course. You don’t feel left behind, as it is practical and hands-on. I did not know a thing about Mplus nor SEM before I started the course and now I was already able to use some of the techniques on my own data…with success!

This MPlus course with Gabriela was a great experience! It offered me a profound theoretical basis on SEM together with a lot of useful tips-and-tricks to work on my own data. Gabriela’s enthusiasm really encouraged me and she managed to explain complex ideas in a really comprehensible way. I would recommend this course to anyone interested in MPlus!

I recently attended the structural equation modeling course run by Dr Gabriela Roman at Cambridge University. It was an instant relief to be a part of this course since I knew I would be using SEM for one of my PhD chapters but had no prior knowledge of this technique, and the course was run at a very comfortable pace, it was highly comprehensive and enjoyable. I benefitted very much, taking away with me invaluable knowledge of the basic foundations of SEM as well as insight into the intricacies of actually running these models and dealing with common and unusual problems- the latter of which I have been very grateful for recently when working with my own data! I highly recommend anyone who will be working with SEM to attend this course, it was excellent.

This is a course that you should take, no matter whether you studied SEM before or not, or whether you used Mplus before or not. The scope of the topics covered in this course caters for pretty much every SEM researcher.

The course is very useful; the clear instruction explains how to trouble shoot difficulties in Mplus, leaving students confident at approaching future analysis.

Gabriela’s course is unique in being taught by a real statistics expert who can answer any question you can imagine. The fact that she can also teach the basics with clarity makes this class highly valuable.