Workshops

Upcoming workshops

Stat-JR Workflow & eBook Workshop, 4th July, University of Bristol

This workshop will introduce the Stat-JR software package and in particular its new workflow system developed as part of our current ESRC-funded project “The use of interactive electronic-books in the teaching and application of modern quantitative methods in the social sciences”.

This is a one-day workshop taking place only on Monday 4th July 2016 (not additionally on 8th July as previously advertised).

Stat-JR is a statistical environment that allows you to explore, analyse and display data, using in-built functionality (including an algebra system, the eSTAT MCMC engine, and a custom C++ engine) and/or a large range of third-party-authored software with which it can interoperate.

Stat-JR is implemented in Python. Users have a choice of Stat-JR interfaces: a chiefly menu-driven interface called TREE, an eBook-reader called DEEP (both run via a browser; e.g. see the features page for screenshots), a command-line interface called runStatJR, and (in the upcoming release in Summer 2016) a new workflow interface.

Topics covered

Stat-JR’s modular system of templates:

Stat-JR’s workflow system:

Stat-JR’s eBook system:

Stat-JR’s interoperation with other software packages:

Pre-requisites

We assume that participants are familiar with fitting single level regression models (to the level implied by Module 3 of our online multilevel modelling course) together with a number of other statistical operations typically taught as part of a quantitative social science undergraduate degree, such as plotting data, deriving and interpreting descriptive statistics, correlation, and so on. We do not assume prior knowledge with the Stat-JR system.

Instructors

Dr Richard Parker, Prof Bill Browne, Mr Chris Charlton

Timing:

The course starts with registration at 10.00am and finishes at 5.30pm.

What to bring

Computers running the relevant software will be provided in the workshop. As well as presentations, we will have a number of practical exercises using sample datasets. If you would like to try these with your own data please bring this saved as a .dta (Stata format) file; you can create .dta files via Stata, MLwiN and R (e.g. the foreign package).

Course fees

The course fee is £45, which goes towards the cost of event materials, lunch and morning/afternoon refreshments. The course fee does not include travel and accommodation costs.

Applications

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 Friday 17th June 2016 although we may close applications early if there is excessive demand due to a limited number of places.

Submission of the form and its acknowledgement does not guarantee a place on the course, although we will base our selection of attendees on a first-come-first-served basis and we will email you soon after your application to tell you whether or not your application has been successful. Note that a place on the workshop 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.

Go to booking form >>

Please click here to read the booking terms and conditions before completing the booking form.


Introduction to Multilevel Modelling Using MLwiN, 12-14 July 2016, University of Bristol

This workshop provides an introduction to multilevel modelling using the MLwiN software. The course will consist of an approximate 2:1 mix of lectures and hands on practical sessions applying the taught methods to real datasets using MLwiN.

Topics covered:

  1. Multilevel data structures 
  2. An 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. A review of single-level logistic regression
  10. Two-level logistic regression

Pre-requisites:

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. 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. 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. For further information, see previous 'Introduction to Multilevel Modelling Using MLwiN' workshop materials (the presentations will be similar but may be subject to minor changes).

Instructors:

Professor Harvey GoldsteinDr George LeckieDr Richard Parker

Timing:

The course starts with registration at 10.45am on Day 1 and finishes at 3.00pm on Day 3. Participants are expected to attend the full course.

Course fees:

The course fee includes event 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.

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 15 May 2016.

Submission of the form and its acknowledgement does not guarantee a place on the course. We will email you by Friday 20 May 2016 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.

Go to booking form >>

Please click here to read the booking terms and conditions before completing the booking form.


Previous workshops (opens in a new tab)