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‘Data sessions’ in CA and other disciplines

‘Data sessions’ in CA and other disciplines. Viewing, commenting on and analysing short stretches of discourse data collaboratively in order to Help identify candidate phenomena worthy of more detailed analysis;

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‘Data sessions’ in CA and other disciplines

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  1. ‘Data sessions’ in CA and other disciplines Viewing, commenting on and analysing short stretches of discourse data collaboratively in order to • Help identify candidate phenomena worthy of more detailed analysis; • Enforce rigour in analysis as you attempt to provide evidence for analytical claims; • Generate new paths to pursue in your analysis, including: • Addressing issues that might have passed unnoticed • Identifying related fragments and building collections • Identifying further information needed in interviews with members of the setting; • Reflecting on better ways of collecting further data Heath, Hindmarsh and Luff (2010:102)

  2. ‘Data sessions’ in our course • ‘Illustrative data sessions’: • designed to demonstrate how to approach data from a perspective introduced in a lecture • using data from tutors • draws on prior analytical work by tutors • Thus data session is pedagogized/recontextualised • Data sessions using data from course participants

  3. Today’s data session • Introduction to data session procedures: • Context • Watching it twice, without transcript • Discussion in pairs • Introduction of key concepts and frameworks • Using key concepts to analyse data • ‘Tasters’ of the three main analytical approaches of the course • micro-analysis • multimodal analysis • Trans-contextual analysis • Using data from Celia Roberts and others collected for research funded by Department for Work and Pensions

  4. Context Interviewer ‘R’ Interviewer ‘D’ Candidate ‘Pippa’

  5. Job interview • Internal candidate • Interviewer ‘Roger’ is a HR manager • Interviewer ‘Daniel’ is an operational manager

  6. Discussion • What’s going on? • How do you know?

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