Advanced Quantitative Methods Summer School 2021 (thank you for your interest, it is now fully booked)
4th May 2021 : 09:00 - 17:00
25th May 2021 : 09:00 - 17:00
Category: Summer School
Research Group: Qualitative Methods Hub
The Quantitative Methods Hub at the Department of Education, University of Oxford, offers its Advanced Quantitative Methods Summer School, this year consisting of seven different on-line courses running during three calendar weeks in May (in Oxford parlance these are called weeks 2, 3 and 4 of Trinity Term; 4-21/5/2021).
The courses require a basic understanding of multiple regression modelling or other multivariate techniques. Students and staff are welcome to attend one, some or all days by signing up using this portal https://www.oxforduniversitystores.co.uk/conferences-and-events/department-of-education/events/advanced-quantitative-methods-summer-school-2021.
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. The teaching format will vary slightly from course to course (please see details for each course below).
Our program is:
Oxford Week 2
Tue 4/5 Thees Spreckelsen Intro to R
Wed 5/5 Thees Spreckelsen Data management and documenting in R
Thu 6/5 Thees Spreckelsen Generalized Linear Models (GLM) in R
Oxford Week 3
Mon 10/5 Luning Sun Intro to IRT modelling
Wed 12/5 Kit Double Multilevel modelling
Thu 13/5 – Fri 14/5 Prathiba Natesan Bately Simulations in R
Oxford Week 4
Mon 17/5 Lars Malmberg Intro Structural Equation Models (SEM)
Wed 19/5 Lars Malmberg Longitudinal SEM
Fri 21/5 Lars Malmberg Multilevel and intraindividual SEM
Cost per course: £25 for OU and Grand Union students, £100 for staff and external students, and £200 for professionals (£60 / £250 / £450 for the week).