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  • 6 - Discovering a Candidate Phenomenon

  • from Part II - Points of Departure
  • Edited by Jeffrey D. Robinson, Portland State University, Rebecca Clift, University of Essex, Kobin H. Kendrick, University of York, Chase Wesley Raymond, University of Colorado Boulder
  • Book:
    The Cambridge Handbook of Methods in Conversation Analysis
    Published online:
    06 December 2024
    Print publication:
    05 December 2024, pp 143-171

  • 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.