Multilevel Modelling courses 9-12 July 2019, University of Bristol
The Centre for Multilevel Modelling will be running two workshops at the beginning of July. These can be attended as stand-alone courses or in conjunction.
- Introduction to Multilevel Modelling Using MLwiN
- Small Area Estimation using R and StatJR
- Course fees
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.
- Overview of multilevel modelling
- Introduction to MLwiN
- Variance-components models
- Random-intercept models with covariates
- Between- and within-effects of level-1 covariates
- Random-coefficient models
- Growth-curve models
- Three-level models
- Review of single-level logistic regression
- Two-level logistic regression
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.
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.
This one-day course is being run in collaboration with Professor Nikos Tzavidis from the University of Southampton and can be attended as a stand-alone course for those already familiar with multilevel modelling or as a continuation for the introductory course on multilevel modelling that immediately precedes it.
The workshop will provide an introduction to Small Area Estimation and in particular how multilevel models are used as part of this topic. It will use the R statistical software to illustrate how to fit classical small area estimation models using the emdi package. It will also use the Stat-JR software distributed along with MLwiN by the Centre for Multilevel Modelling, Bristol to illustrate work in a current ESRC funded project looking at MCMC methods for Small Area Estimation and we will demonstrate an eBook that has been developed as part of the project.
The workshop will consist of a mixture of explanatory talks and demonstrations together with ‘hands-on’ model fitting.
General information on Stat-JR: https://www.bristol.ac.uk/cmm/software/statjr/
Stat-JR manuals: https://www.bristol.ac.uk/cmm/software/statjr/manuals/
If you have not used Stat-JR before then it is suggested that you work through the quick start guide prior to attending the workshop to ensure that the software is set up correctly.
- Introduction to small area estimation including unit-level and area-level models
- The emdi package in R along with a practical to illustrate small area estimation
- Introduction to the StatJR package with particular focus on the eBook interface and the new small area estimation templates.
- Practical testing out the SAE ebook on an example dataset
This course assumes familiarity with multilevel modelling up to the level of module 5 of our LEMMA online course (https://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html) or that you have attended the introduction to multilevel modelling course preceding it. If you are attending this course, you will need to bring your own Windows laptop. If you already have Stat-JR then we advise that you install and test this beforehand, otherwise we will provide a cut-down version on a USB stick for the duration of the workshop.
The course starts with registration at 10.15 and finishes at 17:00. Participants are expected to attend the full course.
The course fees include printed materials, lunch, and morning/afternoon refreshments. The course fees do not include travel and accommodation costs. There will be an optional course meal for participants and workshop instructors for the first course on the Tuesday evening at an additional cost of £30.
Introduction to multilevel modelling:
- 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
Small Area Estimation (this course is heavily subsidised due to ESRC funding):
- For UK-registered MSc and PhD students - £30
- For UK university academics, UK public sector staff, and staff at UK registered charity organisations - £30
- For all other participants - £30
- 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
A full refund will be given if cancellation occurs three weeks prior to the event. No refund is given after this date. By completing the application form, you are accepting these cancellation terms.
Our workshops are now regularly over-subscribed so we have had to introduce an application and selection process. If you would like to attend either workshop, please complete and submit the online application form (see below). Please note the closing date for applications is Sunday 26th May.
Submission of the form and its acknowledgement does not guarantee a place on the workshops. We will email you by Friday 31st May to tell you whether or not your application has been successful. If you are offered a place on either workshop, it will not be confirmed until you have accepted and paid the relevant fee.
If you have any queries, please email email@example.com.
Please click here to read the booking terms and conditions before completing the booking form.