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Methods training

 

The Department of Methodology is an interdisciplinary group, most of the staff having joint appointments with other departments in the School.

 

A key function of the Department is to provide training for PhD and MSc students in the design of social research and in qualitative and quantitative analysis. Students should seek advice from their departments or supervisors on which Methodology courses they are required to take. 

Historically, one of the main reasons for the establishment of the Department of Methodology was the identification by the Economic and Social Research Council of a 'methods gap' in the training of research students and the publication by the ESRC of guidelines for PhD programmes in the social sciences. Among the stipulated requirements was a set of research skills for each discipline. Given the considerable overlap in these research skills across departments, the Department of Methodology was established to meet some of these needs efficiently.

Department of 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.

Some courses are open to external students.

Methodology courses for MSc students

Methodology courses for PhD students

Workshops on Advanced Qualitative Research

The full details for the Advanced Qualitative Research workshops can be found on Moodle. These workshops are primarily aimed at PhD students but may be taken by Masters students. In order to guarantee a place, students must sign up via the LSE's Training and Development system, which usually opens for bookings around two weeks prior to the workshop.

Schedule

Sessions begin in week 8 of Michaelmas Term and are taught on Fridays (bar the session in MT Week 4 which will take place on a Thursday and in LT Week 5 which will take place on a Monday). Sessions take place in the LSE's PhD Academy (bar the session in MT Week 4 which takes place in COL8.13).

For 2018/19 the provisional timetable is:

Michaelmas term

  • 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)

Lent Term

  • Week 4 – In-depth Interviewing (8th February)
  • Week 5 – Participatory Research (11th February)
  • Week 9 - Research Ethics (15th March)

Summer Term

  • Week 4 – In-depth Interviewing (24th May)
  • Week 6 – Thematic Analysis (7th June)

See full details on Moodle

Workshops on Advanced Quantitative Analysis

The full details for the Advanced Quantitative Analysis workshops can be found on Moodle. These workshops are primarily aimed at PhD students but may be taken by Masters students. In order to guarantee a place, students must sign up via the LSE's Training and Development system, which usually opens for bookings around two weeks prior to the workshop.

Schedule

Sessions begin in week 9 of Michaelmas Term and are taught on Thursdays. Most of the workshops are for one day, and consist of a 2 hour lecture plus 2 hour computer class in the afternoon and early evening of the same day, taking place in the LSE's PhD Academy.

For 2018/19 the provisional timetable is:

Michaelmas term

  • Week 9 - Agent Based Modelling (29th November)
  • Week 10 - SQL and Large-scale Online Databases (6th December)

Lent Term 

  • 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)

Summer Term

Further sessions TBC

See full details on Moodle

Workshops on 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. These are open to undergraduate, postgraduate students and 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 the workshop.

Schedule

Each workshop session is 3 hours long, and includes hand-on assistance and advice from Department of Methodology staff. Students are free to choose which software packages and weeks fit their needs. These workshops are non-examinable.

For 2018/19 the provisional timetable is:

Michaelmas term

  • 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) 

Lent Term

  • 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)

Summer Term

Further sessions TBC

See full details on Moodle