Multilevel Modelling

Organised by

Royal Statistical Society

Presenter

Prof. George Leckie and Prof. William J Browne

Date

16/02/2022 - 17/02/2022

Venue

12 Errol Street, London

Map

View in Google Maps  (EC1Y 8LX)

Contact

training@rss.org.uk

Description

Level: Professtional (P)

This course is designed to give participants an introduction to the theory and application of multilevel regression models for clustered or hierarchical data using the MLwiN statistical software package. We focus on two-level linear and logistic regression models for cross-sectional (individuals nested within groups) and longitudinal (repeated measures nested within individuals) data. The course consists of a 2:1 mix of lectures and “hands on” practical sessions using MLwiN. Each new modelling development is illustrated with real applications to social, behavioural and medical science data sets.

Learning Outcomes

  • An appreciation of the implications of ignoring clustered cross-sectional and longitudinal data structures in statistical modelling

  • An understanding of a range of multilevel regression models for analysing clustered and longitudinal data

  • Practice at estimating two-level linear and logistic regression models in MLwiN, and at interpreting and plotting the results
     

Topics Covered

  • Overview of multilevel modelling

  • Variance-component models

  • Random-intercept models

  • ?Within - and between - cluster effects of the covariates

  • ?Three-level models

  • Random slope models

  • Growth-curve models for repeated measures longitudinal data

  • Multilevel logistic regression for binary response data

  • Resources continuing your multilevel modelling learning after the course
     

Target Audience

Applied quantitative researchers with an interest in the analysis of clustered cross-sectional and longitudinal data.


Assumed Knowledge

The course will not assume a high level of statistical knowledge, but participants will be expected to have a good understanding and experience of applying and interpreting conventional linear and logistic regression models. A set of on-line training materials to enable participants to refresh their knowledge of these topics are available from the Centre for Multilevel Modelling (CMM) website in Bristol (http://www.cmm.bristol.ac.uk/learning-training/course.shtml).

Delegates will need to download the latest version of MLwiN onto their laptop and bring this to the course, as this will be used during the workshop: http://www.bristol.ac.uk/cmm/software/mlwin/download/


Delegate Feedback

“The course was organised and the topics were well-structured.”

“Good balance of practical & theory, knowledgeable & helpful speakers."

“Excellent course.  Very challenging but pushed me to understand what I needed – I had a breakthrough.  Thank you!”

Level

Advanced (specialised prior knowledge)

Cost

£599.76 to £832.32 (Including VAT)

Website and registration

Region

Greater London

Keywords

Quantitative Data Handling and Data Analysis, Quantitative Software, MLwiN, Multilevel modelling , Clustered data , Hierarchical data

Related publications and presentations

Quantitative Data Handling and Data Analysis
Quantitative Software
MLwiN

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