Date: 19-20 January 2016 (Tuesday & Wednesday)

Time: 9:30 -18:00

Venue: Room 101 & 104 Runme Shaw Building

By Professor Harvey Goldstein, Centre for Multilevel Modelling, University of Bristol

Registration to this workshop is closed. 

Abstract

The workshop will be hands on and participants will be expected to provide their own laptop computers running windows 7 or later operating system. It will be possible for two participants to agree to share 1 machine for the practical sessions. Prior to the workshop participants will be asked to download and install MLwiN from the CMM website. Details will be provided to those who register. A 30 day fully functional trial version can be downloaded by participants. The software will also be available on the University of Hong Kong network. Participants should also download the two manuals from the web site: ‘A User’s Guide to MLwiN’ and ‘MCMC estimation in MLwiN’. These PDF files can be used ‘on screen’ during the course or participants may wish to print the following chapters: ‘A User’s Guide to MLwiN’: Chapters 1-14; ‘MCMC estimation in MLwiN’: Chapters 1-4, 14 and 15.

By the end of the workshop participants should be able to conduct their own, unsupervised, multilevel analyses with continuous or discrete responses and to be able to understand applied papers that use these techniques.

Programme

Day 1

On the first day participants will be introduced to the topic of multilevel modelling using examples, with group teaching interspersed with practical ‘hands-on’ sessions where participants will be guided through data analyses on their computers. The day will concentrate on models with Normally distributed responses.

09:30 – 10:00       Registration (refreshments)

10:00 – 10:30       Introduction to multilevel modelling

10:30 – 11:15       Random intercept and random coefficient (slope) models

11:15 – 11:30       Break (refreshments)

11:30 – 12:45       Practical session

12:45 – 13:45       Lunch

13:45 – 14:45       Residual estimates, hypothesis testing, complex level 1 variance

14:45 – 15:45       Multilevel models for repeated measures data; Multivariate response models

15:45 – 16:15       Break (refreshments)

16:15 – 17:30       Practical session

Day 2

On the second day participants will be introduced to multilevel models for discrete response data, MCMC estimation, models for non-hierarchical data, and recent work on missing data. As on day 1, lectures will be interspersed with practical ‘hands-on’ sessions.

09:30 – 10:00          Resumé; opportunity to raise issues from day 1.

10:00 – 10:30          Multilevel models with discrete responses I: binary response models

10:30 – 11:15          Introduction to MCMC (Markov chain Monte Carlo) methods: estimation and                                                   diagnostics

11:15 – 11:30          Break (refreshments)

11:30 – 12:45          Practical session

12:45 – 13:45          Lunch

13:45 – 14:45          Multilevel models with discrete responses II: multicategory response models                                                   (ordinal and nominal)

14:45 – 15:30          Practical session

15:30 – 16:00          Break (refreshments)

16:15 – 17:00          Models for non-hierarchical structures: cross-classifications and multiple membership

17:00 – 17:45          Missing data in multilevel models

17:45 – 18:00          Resumé and general discussion

Perspective participants

Participants will be expected to have a basic understanding and experience of applying and interpreting ordinary multiple regression models. A set of training materials to enable participants to refresh their knowledge of this topic is available via a download from the Centre for Multilevel Modelling (CMM) website in Bristol (http://www.cmm.bris.ac.uk).

About the speaker

Professor Goldstein is a chartered statistician and is currently joint editor of the Royal Statistical Society’s Journal, Series A. He has been a member of the Society’s Council and was awarded the Society’s Guy medal on silver in 1998. He was elected a member of the International Statistical Institute in 1987, and a fellow of the British Academy in 1996. He was awarded an honorary doctorate by the Open University in 2001.

This workshop is one of the Science of Learning Winter Institute 2016 activities.