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    Doing Qualitative Data Analysis with NVivo

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    Author(s)
    Mortelmans, Dimitri
    Language
    English
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    Abstract
    This open access textbook provides an introduction to the software program NVivo, the most widely used qualitative analysis program. It is a versatile program with an extensive range of accessible analysis tools, flexibly deployable in the diversity of qualitative analysis approaches. Qualitative analysis is almost standard practice today with the help of a software program. Yet there are many misunderstandings about qualitative software. They support the qualitative researcher but never take over their manual and theoretical work. An in-depth understanding of the possibilities of a qualitative software program helps to free up time for the analysis itself. The possibilities of NVivo in this book are approached from a researcher's perspective. That is precisely why gaining efficiency in using the software tools gets a prominent place in the chapters. The author examines basic skills, such as managing data, working with memos and coding qualitative data. This includes textual data (such as transcripts from interviews and focus groups) and audiovisual material (sound, video and images). The book also discusses more advanced analysis tools, such as case coding, queries, AI tools, matrices and models (maps). This textbook is intended for all users of NVivo, both early career researchers and more advanced analysts, who want to further discover the secrets of this software package along the way.
    URI
    https://library.oapen.org/handle/20.500.12657/96073
    Keywords
    NVivo; Qualitative Analysis Software; Literature Review; Qualitative Data Analysis; Analysing textual data; Analysing multimedia data; Analysing social media; Artificial Intelligence
    DOI
    10.1007/978-3-031-66014-6
    ISBN
    9783031660146, 9783031660139, 9783031660146
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2025
    Imprint
    Springer Nature Switzerland
    Series
    Springer Texts in Social Sciences,
    Classification
    Sociology
    Probability and statistics
    Pages
    282
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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