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6 - Discovering a Candidate Phenomenon

from Part II - Points of Departure

Published online by Cambridge University Press:  06 December 2024

Jeffrey D. Robinson
Affiliation:
Portland State University
Rebecca Clift
Affiliation:
University of Essex
Kobin H. Kendrick
Affiliation:
University of York
Chase Wesley Raymond
Affiliation:
University of Colorado Boulder
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Summary

How do we find a candidate phenomenon in interactional data? In this chapter we examine a number of methods for doing so. We make an initial distinction between observations and discoveries. Drawing on the cumulative experience of a number of conversation analysts, we provide some guidelines to help analysts develop observations into discoveries. We then investigate a range of approaches to identifying action: the heart of CA method. This includes an overview of Schegloff’s analytic ‘keys’ as a way into data. All of these approaches have the radically inductive methods of CA at its core. However, there are other starting points, and we discuss some of these alternative ways of bringing CA methods to bear on the data of interaction.

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Publisher: Cambridge University Press
Print publication year: 2024

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