University of Sussex
Browse

File(s) not publicly available

Pluralism in qualitative research: the impact of different researchers and qualitative approaches on the analysis of qualitative data

journal contribution
posted on 2023-06-08, 04:46 authored by Nollaig Frost, Sevasti-Melissa Nolas, Belinda Brooks-Gordon, Cigdem Esin, Amanda Holt, Leila Mehdizadeh, Pnina Shinebourne
Qualitative approaches to research in psychology and the social sciences are increasingly used. The variety of approaches incorporates different epistemologies, theoretical traditions and practices with associated analysis techniques spanning a range of theoretical and empirical frameworks. Despite the increase in mixed method approaches it is unusual for qualitative methods to be used in combination with each other. The Pluralism in Qualitative Research project (PQR) was developed in order to investigate the benefits and creative tensions of integrating diverse qualitative approaches. Among other objectives it seeks to interrogate the contributions and impact of researchers and methods on data analysis. The article presents our pluralistic analysis of a single semi-structured interview transcript. Analyses were carried out by different researchers using grounded theory, Foucauldian discourse analysis, interpretative phenomenological analysis and narrative analysis. We discuss the variation and agreement in the analysis of the data. The implications of the findings on the conduct, writing and presentation of qualitative research are discussed.

History

Publication status

  • Published

Journal

Qualitative Research

ISSN

1468-7941

Publisher

SAGE Publications

Issue

4

Volume

10

Page range

441-460

Pages

19.0

Department affiliated with

  • Social Work and Social Care Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC