1 / 6

Collaborative Discourse Analysis: Data Sessions for Rigorous Research Practices

This resource outlines the framework for engaging in 'data sessions' within collaborative environments, particularly in research disciplines. It emphasizes the importance of analyzing short discourse segments to identify potential phenomena for deeper investigation, enhance analytical rigor, and pave new avenues for research. The session structure includes viewing data, pair discussions, and applying analytical concepts, with a focus on multimodal and micro-analyses. By drawing on practical examples, researchers can improve data collection strategies and enrich their analytical practices.

blaze
Télécharger la présentation

Collaborative Discourse Analysis: Data Sessions for Rigorous Research Practices

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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?

More Related