May 2022 Summer School: Advanced Quantitative Methods

Thursday, March 10, 2022

Category: News


The Quantitative Methods Hub at the Department of Education, University of Oxford, launches its 2022 Advanced Quantitative Methods Summer School, this year consisting of eight different online courses running during three calendar weeks in May (weeks 2, 3 and 4 of Trinity Term; 5-20/5/2022).

The courses require a basic understanding of multiple regression modelling or other multivariate techniques. Students, staff and professionals are welcome to attend one, some or all days by signing up via the online store.

The courses will take place online, and include a mixture of pre-recorded lectures and demonstrations, synchronous lectures, workshops and questions & answer sessions. Synchronous session sessions will run in zoom. Links to materials and zoom-sessions will be sent to participants. You will use R-studio and various R-modules, and Mplus (Mplus demo) during the courses.

Download our course overview to find out more, or get in touch with us.

Cost per course:

  • £25 for OU and Grand Union students (£60 for a week)
  • £100 for staff and external students (£250 for a week)
  • £200 for professionals (£450 for a week).

Sign up for the Summer School at the online store

Programme Structure

  • Oxford Week 2  (online)

Thu 5/5                                   Thees Spreckelsen        Getting up and running in R

Fri 6/5                                     Thees Spreckelsen        Data management and documenting in R

  • Oxford Week 3 (online)

Mon 9/5                          Rees van de Schoot & Laura Hofstee                 AI-supported systematic reviews

Tue -Wed 10-11/5          Kit Double                                                              Multilevel modelling  (parts 1 and 2)

Fri 13/5                            Luning Sun                                                             Intro to IRT modelling

  • Oxford Week 4 (face-to-face & online)

Mon 16/5                                Lars Malmberg              Intro Structural Equation Models (SEM)

Wed 18/5                                Lars Malmberg              Longitudinal SEM

Fri 20/5                                   Lars Malmberg              Multilevel and intraindividual SEM