A key function of the Department of Methodology is to provide training for PhD and MSc students in the design of social research and in qualitative and quantitative analysis. Methodology courses are open to all LSE students taking MSc or PhD programmes. This means that research students are welcome to attend any of the Department's courses, regardless of which department they are based in. They should seek approval from their research tutors or supervisors.
Methodology courses for MSc students
Methodology courses for PhD students
The Department of Methodology offers workshops under MY530 and MY560 on a variety of specific, advanced topics in qualitative and quantitative research methods. We also offer MY591, a series of workshops focusing on the use of research methods software.
These workshops are non-examinable, self-contained and may be attended independently. Workshops usually take place towards the end of Michaelmas Term, and during Lent and Summer Terms, with the schedules available from the MY530, MY560 and MY591 Moodle pages, and in the relevant workshop tabs below.
As part of the Doctoral Training Partnerships (DTPs) network, the Department reserves limited spaces on MY530 and MY560 workshops for non-LSE external visitors at £30 per workshop.
MY530 Advanced Qualitative Research* & MY560 Advanced Quantitative Analysis*
The Department of Methodology offers workshops under MY530 and MY560 on a variety of specific, advanced topics in qualitative and quantitative research methods.
These workshops are primarily aimed at PhD students but may be taken by Masters students. In order to guarantee a place, sign up via the LSE's Training and Development system, which usually opens for bookings around two weeks prior to the event. See full details on Moodle.
MY530 and MY560 workshops are normally held in the PhD Academy over the course of a single day consisting of a two-hour lecture in the morning followed by a two hour practical session in the afternoon.
* A small number of places on MY530 and MY560 workshops are reserved for external visitors at the cost of £30 per place. Interested parties can sign up two weeks in advance of each workshop via NCRM Events pages, or email firstname.lastname@example.org for further information.
- Week 4 - Participant Observation (25th October)
- Week 8 – Research Ethics (23rd November)
- Week 9 – Discourse Analysis (30th November)
- Week 10 – Small-n Case Studies and Comparative Analysis (7th December)
- Week 11 – Using Social Media Data (14th December)
- Week 4 – In-depth Interviewing (8th February)
- Week 5 – Participatory Research (11th February)
- Week 9 - Research Ethics (15th March)
- Week 4 – In-depth Interviewing (24th May)
- Week 6 – Thematic Analysis (7th June)
- Week 9 - Agent Based Modelling (29th November)
- Week 10 - SQL and Large-scale Online Databases (6th December)
- Week 7 - Matching Methods for Causal Inference (25th February)
- Week 10 - Event History Analysis 1 & 2 (19th and 20th March)
- Week 11 - Statistical Analysis With Missing Data (28th March)
- Week 3 - Collecting and Analysing Ego Network Data (17th May)
MY591 Applied Analysis Software
The workshops in Applied Analysis Software offer targeted training sessions on software used in analytical research, including statistical analysis packages, qualitative analysis software, and tools for text analysis. We offer training in NVivo, Stata, SPSS, R and in Wordstat and QDA Miner. See full details on Moodle.
MY591 workshops are open to LSE undergraduate and postgraduate students, as well as to LSE staff. In order to guarantee a place, students and staff must sign up via the LSE's Training and Development system, which usually opens for bookings around a month prior to each workshop.
MY591 classes are one-off three hour classes which are held in computer rooms. MY591 workshops are not available to external visitors, as LSE login is required in our computer rooms.
- Week 7 - Stata (12th November), NVivo (14th November)
- Week 8 - Stata (19th November), SPSS (21st November)
- Week 9 - QDA Miner (26th November), SPSS (28th November), 30th November (NVivo)
- Week 10 - Wordstat (5th December)
- Week 1 - SPSS (16th January)
- Week 4 - NVivo (6th February), Introduction to R (4th March)
- Week 8 - NVivo (8th March)
- Week 9 - Stata (13th March), Introduction to R (15th March)
- Week 10 - SPSS (20th March), QDA Miner (22nd March)
- Week 11 - Wordstat (25th March), Stata (27th March)
- Week 3 - Introduction to R (15th May), QDA Miner (17th May)
- Week 4 - Wordstat (20th May), NVivo (24th May)
- Week 5 - SPSS (29th May)
- Week 6 - STATA (7th June)