Introduction to Multilevel Modelling Using MLwiN

Date:

09/07/2019 - 11/07/2019

Organised by:

University of Bristol

Presenter:

Dr George Leckie

Level:

Entry (no or almost no prior knowledge)

Contact:

Lucy Haslam
+44 (0) 117 33 14399
info-cmm@bristol.ac.uk

Map:

View in Google Maps  (BS8 1RL)

Venue:

Geography Building, University of Bristol

Description:

This three-day course provides an introduction to multilevel modelling using the MLwiN software. We focus on multilevel modelling for continuous and binary responses (dependent or outcome variables) when the data are clustered or hierarchical. Such methods are appropriate when, for example, analysing the exam scores of students nested within schools, or the health outcomes of patients nested within hospitals. Longitudinal data are also clustered, with repeated measurements on individuals or multiple panel waves per survey respondent.

 

The course will consist of a 2:1 mix of lectures and hands-on practical sessions applying the taught methods to real datasets using MLwiN. Throughout, there is an emphasis on how to interpret the models and on what kinds of research question they can be used to explore.

 

Topics covered:

  1. Overview of multilevel modelling
  2. Introduction to MLwiN
  3. Variance-components models
  4. Random-intercept models with covariates
  5. Between- and within-effects of level-1 covariates
  6. Random-coefficient models
  7. Growth-curve models
  8. Three-level models
  9. Review of single-level logistic regression
  10. Two-level logistic regression

 

Pre-requisites:

We assume no prior knowledge of multilevel modelling or MLwiN. However, participants should be familiar with estimating and interpreting linear regression models, including the writing and interpretation of model equations, hypothesis testing and model selection, and the use and interpretation of dummy variables and interaction terms. Some participants may wish to refresh themselves of this material by reading module 3 of our LEMMA online course. https://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html.

 

Instructors:

Dr George Leckie, Professor Harvey Goldstein, Richard Parker

 

Timing:

The course starts with registration at 10.45 on Day 1 and finishes at 15:00 on Day 3. Participants are expected to attend the full course.

Cost:

For UK-registered MSc and PhD students - £180.
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £360.
For all other participants - £660.

Combined cost with the Small Area Estimation workshop:
For UK-registered MSc and PhD students - £210.
For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £390.
For all other participants - £690.

Website and registration:

Region:

South West

Keywords:

Multilevel Modelling , Hierarchical models, Mixed models, Random effects, Longitudinal Data Analysis, Growth curve models

Related publications and presentations:

Multilevel Modelling
Hierarchical models
Mixed models
Random effects
Longitudinal Data Analysis
Growth curve models

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