Stevanovic2023c
| Stevanovic2023c | |
|---|---|
| BibType | INCOLLECTION |
| Key | Stevanovic2023c |
| Author(s) | Melisa Stevanovic |
| Title | EMCA informed experimentation as a way of investigating (also) “non-accountable” interactional phenomena |
| Editor(s) | Pentti Haddington, Tiina Eilittä, Antti Kamunen, Laura Kohonen-Aho, Tuire Oittinen, Iira Rautiainen, Anna Vatanen |
| Tag(s) | EMCA |
| Publisher | Routledge |
| Year | 2023 |
| Language | English |
| City | London |
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| Pages | 199–217 |
| URL | Link |
| DOI | 10.4324/9781003424888-13 |
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| Howpublished | |
| Book title | Ethnomethodological Conversation Analysis in Motion: Emerging Methods and New Technologies |
| Chapter | |
Abstract
Consistent with social constructionism, EMCA is committed to “ontological muteness” with reference to those aspects of social reality that go beyond the publicly observable, accountable features of interaction. Therefore, phenomena such as prereflective mirroring mechanisms and physiological responses cannot be addressed with EMCA inquiry, although they can also shape social actions and sequences of action in some ways. Here I outline EMCA informed experimentation as a way of investigating also such “non-accountable” interactional phenomena. The experimental induction of social interaction in the lab allows the researcher to obtain larger amounts of parallel instances of data than would be possible in naturally occurring settings. This allows the use of statistical analysis to separate basic interactional patterns from “noise” and to measure participants’ behaviours with technologies such as motion capture and physiological signal analysis. Such research process differs from the traditional, inductive EMCA approach with “unmotivated looking” of interaction as the starting point. The chapter describes the process as involving five phases (theorising the interactional target phenomenon, inventing the social interactional tasks, running the experiments, coding or rating, and checking for inter-observer reliability, and statistical analysis and the interpretation of results) and discusses the concerns that an EMCA researcher may encounter during them.
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