Introduction to Multilevel Modelling Using MLwiN

Description:

This three-day short 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. http://www.bristol.ac.uk/cmm/learning/online-course/course-topics.html

Instructors:

Professor Harvey Goldstein, Dr George Leckie

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.

Course fees:

The course fee includes printed materials, lunch, and morning/afternoon refreshments. The course fee does not include travel and accommodation costs. There will be an optional course evening meal for participants and workshop instructors on the first evening at an additional cost of £30.

• 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

Cancellation/refunds:

A full refund will be given if cancellation occurs two weeks prior to the event. No refund is given after this date. By completing the application form, you are accepting these cancellation terms.

Applications:

Our workshops are now regularly over-subscribed so we have had to introduce an application and selection process. If you would like to attend the workshop, please complete and submit the online application form (see below). Please note the closing date for applications is Sunday 19 November 2017.

Submission of the form and its acknowledgement does not guarantee a place on the course. We will email you by Friday 24 November 2017 to tell you whether or not your application has been successful. If you are offered a place on the workshop, it will not be confirmed until you have accepted and paid the relevant fee.

If you have any queries, please email info-cmm@bristol.ac.uk.

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

Website and registration:

http://www.bristol.ac.uk/cmm/software/support/workshops/

Region:

South West

Keywords:

Quantitative Data Handling and Data Analysis, Regression Methods, Multilevel Modelling , ICT and Software, MLwiN

Related publications and presentations:

Quantitative Data Handling and Data Analysis
Regression Methods
Multilevel Modelling
ICT and Software
MLwiN

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