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Qualitative Diary Methods
24th April 2023 - 26th April 2023
24 April 2023
Qualitative Diary Methods
| Organised by | University of Liverpool |
| Presenter | Dr Laura Ratcliffe and Dr Leighann Spencer |
| Date | 24 April 2023 |
| Venue | Online |
| Map | |
| Contact | Dr Billie-Gina Thomason [email protected] |
| Description | Qualitative Diary Methods (QDMs) are increasingly recognised as a valuable and important method in social science research, due to concern across disciplines with an overreliance on cross-sectional research, a lack of focus on temporality, and the need to capture evolving processes and the daily dynamics of phenomena.
QDMs offer a range of innovative approaches and tools for social science researchers that enable us to capture and subsequently begin to understand, how phenomena are experienced in the moment, as well as how they evolve over time. However, they remain a methodological blind spot in much postgraduate research training. This workshop will provide researchers with a new range of methods to add to their methodological toolkit, as well as support and guidance in managing some of the challenges associated with these methods, including insights into qualitative diary (longitudinal) analysis approaches. The course will cover the following:
By the end of the course participants will:
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| Level | Entry (no or almost no prior knowledge) |
| Cost | The fee per teaching day is £30 per day for students / £60 per day for staff working for academic institutions, Research Councils and other recognised research institutions, registered charity organisations and the public sector / £100 per day for all other participants. |
| Website and registration | https://go.soton.ac.uk/ezm |
| Region | North West |
| Keywords | Conversation Analysis, Narrative Methods, Visual Data Analysis, Mixed Methods Approaches (other), Writing Skills, qualitative diary methods, qualitative methods, creative methods, visual methods, digital methods |
| Related publications and presentations | Conversation Analysis Narrative Methods Visual Data Analysis Mixed Methods Approaches (other) Writing Skills |