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Applied Multilevel Modelling

Date - Wednesday, 13th September 2017 - Friday, 15th September 2017 (All Day)

Course Code HUB-10-16/17-P-R
Organised by NCRM, University of Southampton
Presenter Dr Ian Brunton-Smith
Date 13/09/2017 – 15/09/2017
Venue Building 39, University of Southampton, Highfield, Southampton, Hants
Map View in Google Maps  (SO17 1BJ)
Contact Jacqui Thorp
Training and Capacity Co-ordinator
National Centre for Research Methods
Tel: 02380 594069
Email: jmh6@soton.ac.uk
Description This course will focus on the application of multilevel models to hierarchically clustered data structures. Topics will include types of multilevel data structures, linear multilevel and logistic multilevel models, random intercept and random slope models, and the use of graphical methods to display results. The course will focus primarily on situations where the dependent variable is continuous, but methods will also be introduced for dealing with binary response data. The course will include a mixture of lectures and practical workshops using the multilevel modelling software MLwiN.

Course content:

  • Multilevel data structures
  • Random intercept and random slope models
  • Contextual effects and cross-level interactions
  • Diagnostic checking and model specification
  • Binary response models
  • Repeated measures analysis and multivariate multilevel models

The course will have a practical emphasis with computer workshops allowing participants to work through examples using the MLwiN software.

By the end of the course participants should:

  • Have a practical understanding of the ideas and methods of modelling data with a multilevel data structure, and know when their use is appropriate
  • Have a detailed understanding of how to critically interpret results from multilevel models
  • Gain a working knowledge of the multilevel statistical package MLwiN
  • Be able to apply these methods to continuous and binary response data

The course is aimed at researchers who want to perform multilevel modeling and have to work with clustered data. Participants may be academic researchers in the social and health sciences or may work in government, survey agencies, official statistics or the voluntary or private sector.

Participants are expected to have a good working knowledge of simple statistical methods, including a good understanding of linear regression. No familiarity with the software MLwiN is required.

There are an increasing number of good introductory multilevel books. Below are a few that participants may find useful before attending the course.

  • Hox, J (2010) Multilevel analysis: Techniques and applications. Lawrence Erlbaum Associates. Mahwah, New Jersey, ISBN 080583219X
  • Bickel, R (2007) Multilevel Analysis for Applied Research. It’s Just Regression! The Guildford Press. New York. ISBN 159385191X
  • Snijders, T and Bosker, R (2011) Multilevel Analysis: An Introduction to Basic and Advanced Multilevel Modelling. Sage Publications, London.

Participants should also check the online material at the Centre for Multilevel Modelling at the University of Bristol (http://www.cmm.bristol.ac.uk/). The site provides a range of introductory training material. Students and academics can also download the MLwiN software from here free of charge.

Level Intermediate (some prior knowledge)
Cost The fee per teaching day is:

• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants

All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.

Website and registration
Region South West
Keywords Multilevel Modelling , Regression Analysis, Longitudinal Research, Growth Curve Modelling, Multilevel Linear Regression, Multilevel Logistic Regression
Related publications and presentations Multilevel Modelling