Previous workshops: 2016
Stat-JR Workflow & eBook Workshop, 4th July 2016, 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:
- Templates are the common currency of the Stat-JR system, used by each of Stat-JR’s interfaces. Each template defines a certain function, or suite of functions: some fit models, others plot charts, some produce data summaries, and so on.
Stat-JR’s workflow system:
- Stat-JR’s new workflow system (to be released as a beta version in summer 2016) has been developed as part of our current eBook research project.
- The workflow system uses the Blockly visual programming system, extending the selection of blocks available to include blocks that perform common statistical processes.
- As such, it has a user-friendly front-end which allows users to build up a workflow using different blocks, with each block conceptually representing a particular section of code.
Stat-JR’s eBook system:
- Stat-JR’s eBook system (DEEP; see also the features page for screenshots) embeds dynamic statistical functionality within contextual information provided by the eBook author. It can therefore be written to guide a user through an analysis, describe a particular set of models, illustrate how to operate third-party statistical software, and so on.
Stat-JR’s interoperation with other software packages:
- Whilst Stat-JR has its own in-house statistical functionality which uses Python and also C++, it can additionally interoperate with a wide variety of other statistical software packages, such as R and MLwiN.
- If the user wishes to run an execution in R (for example) Stat-JR can write the R script necessary to run the desired function, and even execute this in R on the user’s behalf, bringing the results back into Stat-JR.
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.
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:
- Multilevel data structures
- An 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
- A review of single-level logistic regression
- 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 Goldstein, Dr George Leckie, Dr 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.
- 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 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.
Please click here to read the booking terms and conditions before completing the booking form.
Introduction to Multilevel Modelling Using MLwiN, 6-8 January 2016, University of Bristol
This workshop provides an introduction to multilevel modelling using the MLwiN software.
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 William Browne, Dr George Leckie, Dr Richard Parker
Timing:
The course starts with registration at 10.45am on Day 1 and finishes at 3.15pm 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.
- For UK-registered 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 22 November 2015.
Submission of the form and its acknowledgement does not guarantee a place on the course. We will email you by Friday 27 November 2015 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.
Please click here to read the booking terms and conditions before completing the booking form.