SO501
Data Analysis Workshop
This information is for the 2020/21 session.
Teacher responsible
Prof Michael Savage
Availability
This course is compulsory on the MPhil/PhD in Cities Programme and MPhil/PhD in Sociology. This course is not available as an outside option.
Only available to sociology research students in the second and subsequent years of their MPhil/PhD.
Course content
Seminars will focus on doing data analysis using materials made and collected as part of PhD research. Each student will present data to the group. Students may submit the following types of data: (part of) a qualitative interview to code OR a collection of interview sections coded as ‘X’ to be analysed according to a specified method (e.g., narrative analysis, grounded theory); fieldnotes for coding or for reflections on what is needed for ‘thick description’; an image or text to code or analyse according to a specified method (e.g., discourse analysis); a map of the research situation (e.g., situational analysis, network analysis); a regression analysis that requires interpretation, etc. All students will be asked to read the data before the workshop. The workshop will start with the student briefly presenting their data and contextualizing it within their research question, data set and methodological approach. As a group, that piece of data will be closely analysed using the method specified by the student.
Teaching
10 hours of seminars in the LT.
Assessment
There is no formal assessment, but participants are asked to present research materials, read other students’ research materials, and contribute to discussion.
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Key facts
Department: Sociology
Total students 2019/20: 6
Average class size 2019/20: 4
Value: Non-credit bearing
