Workshops and Conferences

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Date	Where?	Workshop/Conference	Prices £	Places left
12-14 April 2010	Haggett Laboratory (formerly named The Carto Lab) School of Geographical Sciences University of Bristol University Road Bristol BS8 1SS Google map Geographical Sciences Building	Multilevel Modelling of Discrete Response Data Timetable This intermediate level workshop provides an introduction to multilevel modelling of discrete (categorical and count) data. We assume that participants are familiar with multilevel models for continuous response variables (to the level implied by our Introduction to Multilevel Modelling workshop or Module 5 of our online multilevel modelling course) and standard (single-level) models for binary responses (see Module 6 of our online course). We recommend that participants refresh their knowledge of single-level models for continuous and binary responses in advance of the workshop by reading the ‘concepts’ parts of Module 5 and Module 6 of our online course. Topics covered include (presentations below may change before the course): Recap of single level models for binary response data Recap of single level models for binary response data- viewing version Recap of single level models for binary response data - for printing Multilevel models for binary response data Multilevel models for binary response data - viewing version Multilevel models for binary response data - for printing Estimation procedures and software (with an emphasis on MCMC estimation in MLwiN) Unordered multinomial response models Ordered multinomial response models Modelling Count and Proportions Data: Poisson, negative binomial and binomial proportions Theory sessions are accompanied by practical sessions using our software, MLwiN, in which participants get the chance to apply what they have learned to real datasets. Although no prior knowledge of MLwiN is assumed, participants are strongly advised to work through the practical of Module 5 of our online multilevel modelling course before the workshop. Throughout, there is an emphasis on how to interpret the models and on what kinds of research question they can be used to explore. Please note that all practical sessions will be based on example datasets. There will not be time for participants to analyse their own data at this workshop.	Student:£90.00 Academic:£180.00 Non-acad:£630.00**	12 out of 35 places available Book this workshop

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**This price applies to all nationalities and includes an MLwiN user manual, lunch and refreshments every day, plus one evening meal at a local restaurant.

Previous or fully-booked workshops & materials/presentations where available

date	Materials/presentations available for download
7-9 April 2010 Haggett Laboratory (formerly named The Carto Lab) School of Geographical Sciences University of Bristol University Road Bristol BS8 1SS Google map	Introduction to Multilevel Modelling in MLwiN Topics covered include (presentations below may change before the course): Multilevel data structures and alternative analysis strategies Introduction to MLwiN & revision of multiple regression Variance Components Models Random Intercept Models Random Intercept Models - viewing version Random Intercept Models - for printing Random Slope Models Random Slope Models - viewing version Random Slope Models - for printing Contextual Effects Three-level Models Modelling variance Theory sessions are accompanied by practical sessions using our software, MLwiN, in which participants get the chance to apply what they have learned to real datasets. Again, no prior knowledge of MLwiN is assumed: the first practical takes participants right from the very basics. Throughout, there is an emphasis on how to interpret the models and on what kinds of research question they can be used to explore. Please note that we have restructured our workshops, and the introductory workshop now only deals with continuous response variables. Repeated measures and cross classified/ multiple membership structures are also no longer covered. Discrete response models, longitudinal data, and non-hierarchical structures will each be covered in future workshops. Prerequisites remain the same as in previous years (We assume that participants are familiar with single level regression models (to the level implied by Module 3 of our online multilevel modelling course) but have no prior knowledge of multilevel modelling).
7-9 Sep 2009	Research Workshop in Multilevel Modelling see note* Full details Tutors: Kelvyn Jones, Jon Rasbash, Fiona Steele and Rebecca Pillinger This is a new workshop, adapted from our popular 'Getting Started' workshop. It provides an opportunity for a small group of researchers to analyse their own multilevel datasets with support from the CMM team, and to get advice on how to interpret and present their findings. Knowledge of the material in Module 5 of the CMM online course (both Concepts and Practice) will be assumed. Datasets should have a multilevel structure (see Multilevel Structures and Classifications or Module 4 of the CMM online course.
25-27 March 2009	Introduction to Multilevel Modelling in MLwiN timetable Topics covered include Multilevel data structures and alternative analysis strategies Introduction to MLwiN & revision of multiple regression Variance Components Models Random Intercept Models Random Intercept Models - viewing version Random Intercept Models - for printing Random Slope Models Random Slope Models - viewing version Random Slope Models - for printing Contextual Effects Three-level Models Modelling variance Theory sessions are accompanied by practical sessions using our software, MLwiN, in which participants get the chance to apply what they have learned to real datasets. Again, no prior knowledge of MLwiN is assumed: the first practical takes participants right from the very basics. Throughout, there is an emphasis on how to interpret the models and on what kinds of research question they can be used to explore. This workshop provides an introduction to multilevel modelling. We assume that participants are familiar with single level regression models (to the level implied by Module 3 of our online multilevel modelling course) but have no prior knowledge of multilevel modelling.
6-7 Jan 09 Haggett Laboratory (formerly named The Carto Lab) School of Geographical Sciences University of Bristol University Road Bristol BS8 1SS Google map	Multilevel Modelling of Discrete Response Data timetable This intermediate level workshop provides an introduction to multilevel modelling of discrete (categorical and count) data. We assume that participants are familiar with multilevel models for continuous response variables (to the level implied by our Introduction to Multilevel Modelling workshop or Module 5 of the CMM online course) and standard (single-level) models for binary responses. Topics covered include: Recap of single level models for binary response data viewing version for printing Multilevel models for binary response data viewing version for printing Estimation procedures and software (with an emphasis on MCMC estimation in MLwiN) Unordered multinomial response models Ordered multinomial response models Modelling Count and Proportions Data: Poisson, negative binomial and binomial proportions Theory sessions are accompanied by practical sessions using our software, MLwiN, in which participants get the chance to apply what they have learned to real datasets. Although no prior knowledge of MLwiN is assumed, participants are strongly advised to work through the practical of Module 5 of our online multilevel modelling course before the workshop. Throughout, there is an emphasis on how to interpret the models and on what kinds of research question they can be used to explore. Please note that all practical sessions will be based on example datasets. There will not be time for participants to analyse their own data at this workshop.
16-18 Sep 08	Introduction to Multilevel Modelling timetable This workshop provides an introduction to multilevel modelling. We assume that participants are familiar with single level regression models (to the level implied by Module 3 of our online multilevel modelling course) but have no prior knowledge of multilevel modelling. Topics covered include What is Multilevel Modelling? MLwiN - a few pointers Variance Components Models Random Intercept Models Random Slope Models Contextual effects Variance functions or modelling heteroscedasticity The Three-level Model Multiple regression: a refresher Theory sessions are accompanied by practical sessions using our software, MLwiN, in which participants get the chance to apply what they have learned to real datasets. Again, no prior knowledge of MLwiN is assumed: the first practical takes participants right from the very basics. Throughout, there is an emphasis on how to interpret the models and on what kinds of research question they can be used to explore. Please note that we have restructured our workshops, and the introductory workshop now only deals with continuous response variables. Repeated measures and cross classified/ multiple membership structures are also no longer covered. Discrete response models, longitudinal data, and non-hierarchical structures will each be covered in future workshops.
31 Mar-4 Apr 08	Introduction to Multilevel Models: Getting Started with your own Data timetable Residuals (pdf from workshop) See also: Residuals (voice-over with slides presentation) by Rebecca Pillinger and Full transcription of Residuals voice-overpresentation (with slide images)
15-17 Jan 08	Introduction to Multilevel Modelling Slides details and pre-requisites
5 Dec 2007	Joint Meeting of the RSS Social Statistics and General Applications Sections: Recent Advances in Multilevel Modelling Methodology and Applications Go to details of slides from the workshop
8-10 Nov 07	Piperska Muren Association of Educational Assessment-Europe Conference Presentations
13-14 Sep 07	Multilevel Discrete-time Event History Analysis Multilevel Discrete-time Event History Analysis Notes ( 0.5 mb) Powerpoint Presentation, ( 0.5 mb) Exercises, macros and worksheets (1.1 mb) Workshop data: The practical exercises used data derived from the National Child Development Study and the 1970 British Birth Cohort Study. These datasets are available for download via the UK Data Archive. Multilevel Event History Analysis Training Datasets - Go to data-archive web site to download
10-12 Sep 07	Introduction to Multilevel Modelling: Day 1: Theory, Modelling varying relations: from graphs to equations, Random intercept and random slope models Day 2: Multilevel residuals and variance partitioning coefficient, 2-level random-intercept multilevel model, Contextual effects, Variance functions or modelling heteroscedasticity, Multivariate response models, Significance testing and model comparison, Generalised Binary Responses and Proportions, MCMC estimation in MLwiN , Non-hierarchical multilevel models Timetable Pre-requisites and details
21-22 June 07	Multilevel Modelling, two-day course presented by Harvey Goldstein and Fiona Steele course outline Workshop Powerpoint presentation ( 3.2 mb)
12 June 07 (Birmingham) 15 June 07 (London) 3 July 07 (Bristol)	*Realcom: Recent advances in multilevel modelling*** Realcom project (Developing multilevel models for Realistically com*plex social science data) REALCOM workshop training manual, bug-fixed version ( 0.6 mb) workshop powerpoint presentation ( 0.5 mb) Realcom Installer (bug-fixed, March 2009) more details
23 May 07	Statistics Training for Social Scientists Presentations available Meeting of the Royal Statistical Society Social Statistics Section and the NCRM: Statistics Training for Social Scientists
26-30 Mar 07	Introduction to Multilevel Models: Getting Started with your own Data Getting data into MLwiN Getting Started with your own data using MLwiN ( 3.3 mb) Global variations in health and mortality (Video+ Powerpoint Presentation), Internet Explorer only (also PowerPoint-only)
8-10 Jan 07	Introduction to Multilevel Modelling Day 1: Using MLwiN: Multilevel Models, Modelling varying relations: from graphs to equations, Multilevel residuals and variance partitioning coefficient Days 2/3 Contextual Effects, Variance functions or modelling heteroscedasticity, Multivariate response models, MCMC estimation in MLwiN, Generalised Multilevel Models 1: Binary Responses and Proportions, Multilevel Multinomial Models, Ordered categorical data, Non-hierarchical multilevel models, Multiprocess multilevel models, selection effects and causal inference
20-21 Mar 06 (and Feb 05)	Multilevel Discrete-time Event History Analysis Notes ( 0.5 mb) Powerpoint Presentation, ( 0.5 mb) Exercises, macros and worksheets (1.1 mb) Workshop data: The practical exercises used data derived from the National Child Development Study and the 1970 British Birth Cohort Study. These datasets are available for download via the UK Data Archive. Multilevel Event History Analysis Training Datasets - Go to data-archive web site to download
16 Dec 05	Multilevel Modelling for Educational Researchers
19-20 Dec 05	Advanced Multilevel Modelling Workshop
5-6 Dec 05	Introductory Multilevel Modelling Workshop for Educational Policy Makers and Researchers: What are the barriers to using more complex quantitative methods? 0.5 mb or 0.1 mb Example: Evaluating School Effectiveness in Lancashire LEA using Value Added Measures Powerpoint, 0.2 mb or 0.2 mb
Apr 05	Multilevel Modelling Workshop using MLwiN
RSS, Jan 2005	Applied Multilevel Modelling Workshop

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Workshops: Frequently-Asked-Questions

Can you recommend anywhere to stay during my visit? The University of Bristol's web site offers a list of bed and breakfast accommodation, though please note that these are not inspected, merely a guide to help you. There is also a list of hotels near the university.
After the course If you require a receipt that you have attended the course, please email info-cmm@bristol.ac.uk and state your name and email address. This can then be sent to you via a pdf attachment.
Can I park at the university? We would not recommend bringing a car as there is no free parking available, you would have to use the local NCP car parks which tend to be quite expensive.
I have a question that is not answered here Please email info-cmm@bristol.ac.uk with your question
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