Drew2024
| Drew2024 | |
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| BibType | INCOLLECTION |
| Key | Drew2024 |
| Author(s) | Paul Drew, Ana Cristina Ostermann, Chase Wesley Raymond |
| Title | Conversation analysis as a comparative methodology |
| Editor(s) | Jeffrey D. Robinson, Rebecca Clift, Kobin H. Kendrick, Chase Wesley Raymond |
| Tag(s) | EMCA, Evidence, Methodology, Morphology, Diminutive morphology, Brazilian Portuguese, Formulations |
| Publisher | Cambridge University Press |
| Year | 2024 |
| Language | English |
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| Pages | 381-412 |
| URL | Link |
| DOI | https://www.cambridge.org/core/books/abs/cambridge-handbook-of-methods-in-conversation-analysis/conversation-analysis-as-a-comparative-methodology/45829F28F321EC55975ECDD53A0EC9DE |
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| Howpublished | |
| Book title | The Cambridge Handbook of Methods in Conversation Analysis |
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Abstract
We explore the necessarily comparative nature of CA’s methodology. We focus less on cross-linguistic comparisons, comparisons between talk-in-interaction in different settings, and comparisons between speakers from diverse speech communities. Instead, we consider the micro ways in which analysts work comparatively, ways that generally go unnoticed in accounts of CA’s methodology but which underpin our approach in data sessions, to building collections of phenomena, and even our research strategies when exploring certain linguistic or interactional forms. We demonstrate what can be learned from comparisons to be found in data, for example between the different responses by different participants to the same observation or question, or between different speakers’ versions of events, or from the different forms used by speakers when referring to the ‘same’ thing but in different action environments. We highlight the significance of speakers’ production of different versions of the ‘same’ something in their self-corrections. Finally, we illustrate the utility of a research strategy in which comparisons are made between speakers’ use of a certain reference form at one point in an interaction and the form they use at other points in the same interaction. In short, we explore the methodological significance of endogenous comparisons in data.
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