Southampton Summer Statistics School 2026: An Introduction to Multilevel Modelling
Date:
29/07/2026
Organised by:
University of Southampton
Presenter:
Dr Laone Maphane
Level:
Intermediate (some prior knowledge)
Contact:
Dr James Hall
J.E.Hall@Soton.ac.uk
Venue: Online
An Introduction to Multilevel Modelling
Session 4/6 of a free online three-day programme of statistics training running from 28–30 July 2026. Running 12-2pm on 29/7/2026
Hosted by Southampton Education School, the Southampton Summer Statistics School is designed for professionals, academics and doctoral/postgraduate researchers working with numeric data, across disciplines. Participants can attend one, some or all sessions, with each session combining conceptual introduction with practical, hands-on activity.
The programme includes sessions on Structural Equation Modelling, Assessment data, Social Network Analysis, Multilevel Modelling, Machine Learning, and Causal Inference.
The Summer School is intended as accessible CPD for those looking to strengthen or refresh their statistical analysis skills in a supportive online format. Registration is free via Eventbrite: https://www.eventbrite.com/e/southampton-summer-statistics-school-2026-tickets-1990997448966
Cost:
free
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis, Multilevel Modelling , Hierarchical models, Mixed models, Random effects, multilevel modelling
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis
Multilevel Modelling
Hierarchical models
Mixed models
Random effects