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Polyphonic coding in qualitative analysis: conversation as musical motet

Polyphonic coding in qualitative analysis: conversation as musical motet Purpose – Thematic coding is a common form of qualitative analysis, yet identification of “codes” can limit understanding by directing the researcher to formulated categories rather than inviting exploration of what else the data may be trying to convey. Since categorization is an essential component of language and can scarcely be avoided, the purpose of this paper is to propose a polyphonic approach as a way to add texture and nuance. In polyphonic coding, text is coded several times along various dimensions of interest; these independently coded versions are then superimposed to identify patterns and relationships, allowing a multi-lensed view of the data as both forest and trees. Design/methodology/approach – Polyphonic coding is applied to a specific interview in order to illustrate how the method can be utilized in a three-step process: in vivo coding from several independent perspectives (role, relational movement, and vocal mannerism), merging the perspectives, and “plugging in” to theory. Findings – Polyphonic coding reveals relationships among the perspectives that point to an over-arching theme (in the example used) of a struggle for control. Research limitations/implications – This approach offers a way to code verbal, tonal, and somatic data as a means of understanding the construction and negotiation of identity in the relational context of qualitative research. Practical implications – This approach promotes a flexible, expanded use of data analysis software. Originality/value – The metaphor of a musical motet is used to describe a multi-faceted approach to qualitative analysis that can help to mitigate some of the pitfalls of typical thematic coding. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Qualitative Research Journal Emerald Publishing

Polyphonic coding in qualitative analysis: conversation as musical motet

Probst, Barbara; Bucholtz, John
Qualitative Research Journal , Volume 15 (3): 12 – Aug 10, 2015
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References (19)

Publisher
Emerald Publishing
Copyright
Copyright © Emerald Group Publishing Limited
ISSN
1443-9883
DOI
10.1108/QRJ-05-2014-0017
Publisher site
See Article on Publisher Site

Abstract

Purpose – Thematic coding is a common form of qualitative analysis, yet identification of “codes” can limit understanding by directing the researcher to formulated categories rather than inviting exploration of what else the data may be trying to convey. Since categorization is an essential component of language and can scarcely be avoided, the purpose of this paper is to propose a polyphonic approach as a way to add texture and nuance. In polyphonic coding, text is coded several times along various dimensions of interest; these independently coded versions are then superimposed to identify patterns and relationships, allowing a multi-lensed view of the data as both forest and trees. Design/methodology/approach – Polyphonic coding is applied to a specific interview in order to illustrate how the method can be utilized in a three-step process: in vivo coding from several independent perspectives (role, relational movement, and vocal mannerism), merging the perspectives, and “plugging in” to theory. Findings – Polyphonic coding reveals relationships among the perspectives that point to an over-arching theme (in the example used) of a struggle for control. Research limitations/implications – This approach offers a way to code verbal, tonal, and somatic data as a means of understanding the construction and negotiation of identity in the relational context of qualitative research. Practical implications – This approach promotes a flexible, expanded use of data analysis software. Originality/value – The metaphor of a musical motet is used to describe a multi-faceted approach to qualitative analysis that can help to mitigate some of the pitfalls of typical thematic coding.

Journal

Qualitative Research Journal – Emerald Publishing

Published: Aug 10, 2015

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