Social Sciences PGR Training: Multilevel Modelling

Multilevel models allow researchers to use data that has a multilevel structure, such as pupils within schools, individuals within neighbourhoods, or longitudinal panel data where observations are nested within individuals. This course will build on standard regression models to provide an introduction to 2-level multilevel models. Participants will gain experience using relatively simple multilevel models, and be pointed to resources for more complex models.

Requirements: Would need to be familiar with multiple regression (either from previous course, or from CMM LEMMA course module 3 - https://www.cmm.bris.ac.uk/lemma)

Tutor: Andy Bell, Sheffield Methods Institute

This session is open to all ESRC and non-ESRC funded students within the 7 WRDTP partner universities.

Contact: fcs-pgr@sheffield.ac.uk

The course will now be run online, with approximately the same timings, although we may not last the full day (concentrating on a screen for a whole day is difficult!).

The course will be taught in both MLwiN and R, depending on your preferences and machine capabilities. If you have never used R before, and can complete the course on a windows computer, I recommend using MLwiN. It should be installed in advance of the course here: http://www.bristol.ac.uk/cmm/software/mlwin/ (you will need a .ac.uk email address).

Unfortunately MLwiN only works on Windows machines. For students with other operating systems, you should use R and RStudio, which can be downloaded here https://www.stats.bris.ac.uk/R/ and here https://rstudio.com/products/rstudio/download/#download. You will need to be fairly familiar with the basics of R before completing the course. There are materials available on the WRDTP VIRE to help you with this: https://wrdtp.ac.uk/vire/introduction-to-r-training-resources/