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Researcher Development

Researcher Development Initiative in Quantitative Statistical Methods

These workshops are designed to address the needs of academic 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 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.  

Next: SEM and Longitudinal Data Analysis with Mplus (2, 3 or 6-days)

LocationDates and TimeFeeTutors

Psychometrics Centre,
Cambridge

MAP

8th to 13th December 2014

2, 3 or 6 day courses

10.00 to 17.00

depends on number of days

(Click here for details)

Gabriella Roman,
Arielle Bonneville-Roussy

What our candidates say:

  • "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)