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Coding qualitative data: a synthesis guiding the novice

Qualitative research journal, 2019-07, Vol.19 (3), p.259-270 [Peer Reviewed Journal]

Emerald Publishing Limited ;Emerald Publishing Limited 2019 ;ISSN: 1443-9883 ;EISSN: 1448-0980 ;DOI: 10.1108/QRJ-12-2018-0012

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  • Title:
    Coding qualitative data: a synthesis guiding the novice
  • Author: Skjott Linneberg, Mai ; Korsgaard, Steffen
  • Subjects: Coding theory ; Data analysis ; Data collection ; Qualitative research ; Researchers ; Software ; Theory
  • Is Part Of: Qualitative research journal, 2019-07, Vol.19 (3), p.259-270
  • Description: Purpose Qualitative research has gained in importance in the social sciences. General knowledge about qualitative data analysis, how to code qualitative data and decisions concerning related research design in the analytical process are all important for novice researchers. The purpose of this paper is to offer researchers who are new to qualitative research a thorough yet practical introduction to the vocabulary and craft of coding. Design/methodology/approach Having pooled, their experience in coding qualitative material and teaching students how to code, in this paper, the authors synthesize the extensive literature on coding in the form of a hands-on review. Findings The aim of this paper is to provide a thorough yet practical presentation of the vocabulary and craft of coding. The authors, thus, discuss the central choices that have to be made before, during and after coding, providing support for novices in practicing careful and enlightening coding work, and joining in the debate on practices and quality in qualitative research. Originality/value While much material on coding exists, it tends to be either too comprehensive or too superficial to be practically useful for the novice researcher. This paper, thus, focusses on the central decisions that need to be made when engaging in qualitative data coding in order to help researchers new to qualitative research engage in thorough coding in order to enhance the quality of their analyses and findings, as well as improve quantitative researchers’ understanding of qualitative coding.
  • Publisher: Armidale: Emerald Publishing Limited
  • Language: English
  • Identifier: ISSN: 1443-9883
    EISSN: 1448-0980
    DOI: 10.1108/QRJ-12-2018-0012
  • Source: ProQuest Central
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