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)
|Location||Dates and Time||Fee||Tutors|
8th to 13th December 2014
2, 3 or 6 day courses
10.00 to 17.00
depends on number of days
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)