skip to primary navigationskip to content
 

Researcher Development

Researcher Development Initiative in Quantitative 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 RDI course: SEM and Longitudinal Data Analysis with Mplus 

LocationDates and TimeFeeTutors

Room 7, Lecture Block A
Sidgwick Site, Sidgwick Avenue, Cambridge
CB3 9DA

MAP

16-21 March, 2015 10am - 5pm

Monday to Saturday, 2, 3 or 6 day course

For details of the
content for each of
the 6 days see the timetable below

Full 6 day course: £600

Any 3 days: £420

Any 2 days: £320

Pay online by Credit Card

Dr Gabriela Roman and
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)