Advanced quantitative methods courses
The courses are open to any social science PhD student from the Bristol, Bath, Exeter, Plymouth or UWE arms of the South West Doctoral Training Partnership (SWDTP). Attendance is free, but it is essential to register because places are limited.
To apply for a place on any currently advertised course, please email firstname.lastname@example.org and give your name, position (e.g., PhD student or Research Assistant), department and institution.
Please only apply for a place if you have the course prerequisites. Please be honest with yourself here: if you do not have the prerequisites, then you may find the course hard to follow, and alternative training may be more appropriate.
Please also only apply for a place if and if you can attend both days: check that you have no conferences or graduate teaching on the scheduled days.
You will be notified as to whether you have a place on the course roughly a week following the registration deadline.
Current AQM courses
All courses will be held at the University of Bristol. Specific details about each course, including details of which room it will be held in and its registration deadline, can be found below:
- Introduction to Stata (9-10 November 2017)
- Review of Linear Regression Using Stata (30 November - 1 December 2017)
- Multilevel Modelling Using Stata I (17-18 May 2017)
- Multilevel Modelling Using Stata II (23-24 May 2017)
Please note that some courses have not yet been scheduled, and you will not be able to register until the date is confirmed. Courses will be announced to all SWDTP students via email and you can apply for a place then.
Most courses focus on the application of methods and their interpretation, with examples from social science and health. Most courses will be offered as two-day short courses
Previous AQM courses
AQM Pathway Students
Students are expected to take the courses listed above, spread over the three year PhD. Students who have already covered the material of a course may seek an exemption. Part time students may spread their courses over more than three years.
The courses are not formally assessed, but students’ performance will be monitored annually and they will be expected to give presentations on their research. Completion of three courses is a pre-requisite for upgrading at the end of the first year. Completion of all courses over the whole PhD is a prerequisite for submitting the thesis.
Additional courses may be taken from other pathways or from the School of Social and Community Medicine’s statistics short course programme. These may be quantitative courses or in the student’s substantive discipline.
Students will gain additional advanced training through attending and involvement in the development and running of reading groups and internal seminars.