Training and Events
How to analyse large volumes of secondary qualitative data: Big Qual Methods (postponed)
|The University of Edinburgh|
Professor Rosalind Edwards, Professor of Sociology, Social Sciences Director of Research and Co-director of ESRC National Centre for Research Methods at the University of Southampton.
Room EW.10, Argyle House, 3 Lady Lawson Street, Edinburgh
View in Google Maps (EH3 9DR)
The course aims to introduce doctoral students to a novel method for handling large volumes of qualitative data in a manner that maintains the integrity of qualitative work. The course is likely to benefit those conducting secondary analysis with archived datasets from repositories such as the ESRC Timescapes and the UK Data Archives and/or those working across multiple qualitative data sets.
This one-day course will provide the foundations for conducting big qual analysis using a new archaeological approach that works backwards and forwards between levels in combined multiple qualitative data sets. It forms part of a new collaborative project that aims to develop and test resources for the teaching and learning of this method. Participants will gain hands-on experience of this four-step process. Drawing on material in repositories such as the Timescapes Archive, they will learn how to survey the main features of the data landscape to acquire a precursory understanding of the nature, quality, and fit of the available material. They will be introduced to ways of carrying out a geophysical survey of the overall features of the selected data sets to identify points of potential interest using a range of CAQDAS tools. They will learn approaches to test pit sampling to investigate the salience (or not) of those interesting features. They will conduct deep excavations of a sample of cases. They will be involved in the evaluation of the course resources.
The session consolidates and builds on the NCRM training course ‘How to bring together multiple qualitative datasets: Expanding your analytic comfort zone’ hosted at the University of Edinburgh on Wednesday 2nd May 2018. It may also be taken as an independent course by people who already have some familiarity with the material covered in the previous day’s course.
Intermediate (some prior knowledge)
The fee per teaching day is:
Website and registration
Big data, Data Sets , , , Archive
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