Researcher Development Initiative in Quantitative Methods

• Structural Equation Modelling in R, 10-13 March 2020
• Structural Equation Modelling in MPlus, 15-17 April 2020

These workshops are designed to address the needs of research staff and postgraduate students who operate at the cutting-edge of methodology in Latent Variable Analysis and Structural Equation Modelling. Most of our workshops use Mplus or the open-source statistical language R. We have a variety of courses, ranging from those for absolute beginners with no or little prior knowledge of either language, to more advanced courses addressing particular analytic methods. These may include: 

• General Structural Equation Modelling (including mediation and moderation)
• Exploratory, Confirmatory and Multiple Group Factor Analysis,
• Latent Growth Curve Models and Latent Growth Class Analysis/Mixture Models 
• Measurement Equivalence and Differential Item Functioning (DIF),
• MIMIC models
• Longitudinal Data Analysis
• Multivariate Item Response Theory (MIRT)

Workshops include a range of tutorials and practical sessions. Participants should bring their laptop computers with them, preferably with either Mplus or R installed as appropriate.  

What our delegates say:

• "The workshop was very comprehensive in the material it covered, and the tutors were very warm and approachable." (SEMinR, January, 2018)
• "Well structured, teachers went through things slowly and clearly. Lots of practice." (SEMinR, January 2018
• "Practical aspect which is very helpful for a person without prior knowledge of SEM." (Mplus, December 2017)
• "Well-designed learning agenda & process. Excellent tutors." (Mplus, December 2017)
• "The tutors encouraged participation and responded to the questions to the level of participants." (Mplus, December 2017)
• "Pace, competency of tutors, understandable explanations, good practical exercises"(Mplus, July 2017)
• "I like the practices & real world examples" (Mplus, July 2017)
• "Great course. Made it simple to understand" (Mplus, July 2017)
• "Many thanks, it was extremely useful & nice here" (Mplus, July 2017)
• "The introduction to R was very useful for me, Aiden and Chris were good teachers and very helpful"
• "I liked the The 'spirit' of the workshop which was intense, motivation and very hands-on - thank you so much for a brilliant course!"
• "A really great atmosphere and great teaching that fostered a collaborative learning environment"
• "This course was well paced, informative and I think everybody enjoyed it and got a lot of out of it. This is rare in either stats or software courses so amazing to get it right on both counts" (University Lecturer, London)
• "All the things that I have learned will, surely, improve my skills as a researcher."
• "A visit to a wonderful city and an exciting University, as well as so many interesting fellow students and researchers." 
• "Thank you for your kindness, your interest and (speaking as a developmental psychologist!), your true availability, sensitivity and responsiveness to every question asked or any request for help."
• "I am very excited about applying the techniques you've showed me to my own data!" (Researcher, Portugal)
• "I really enjoyed the course. The tutors were both excellent at presenting very technical information and I thought the course was very well organised to address the range of knowledge across the participants and make sure everyone benefited the same." (Researcher, London)