Searching for treasures from random piles of stuff
Wending one’s way to a thesis through theory, data, analysis and argument-building
Facilitated by Dr. Henni Alava, University of Jyväskylä
In this workshop, we will discuss the process of master’s thesis writing with a focus on how theory, data analysis and argument-building actually happen. You will be provided with concrete examples of how this has been done in previous studies. In addition, you will get a chance to hands-on practice doing data analysis jointly with others. Time will also be reserved to share and talk about issues that may be blocking your progress in thesis-writing.
You can participate in one of three roles:
1) All in
You will submit a document prior to workshop, which will be read by the facilitator and all of the other participants. The document should include
1) Your tentative title
2) A short description (max. 1 A4) of your overall research question, your data, and the data analysis methods you are using or planning to use.
3) A snippet (max. 1 A4) of the empirical material you will be using for your thesis. This could be a section of an interview; a part of a fieldwork diary; a project planning document; or a newspaper article, etc… Please note that any confidential data must be fully anonymised.
You will also commit to reading all the documents submitted by other participants, and will be assigned a number of other students’ data excerpts, which you will analyse.
In this role, you will be expected to read the other participants’ submissions, and will be assigned as a commentator to some other students’ data, but will not have to submit your own.
This role is for you who want to think through the process of writing a master’s thesis; who already have a theme and a research proposal and possibly some chapters, but do not have the time to commit to commenting on your colleague’s work, or feel, for whatever reason, that at this point you would rather just stay quiet and listen.
All students must submit their assignments by 3 February 2021.
All students should read the other students assignments, and prepare to present a brief analysis of data excerpts assigned to them, by the time of the workshop.