IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v57y2023i2d10.1007_s11135-022-01418-5.html
   My bibliography  Save this article

Recognising and applying equivalent meanings: an example of creating a codebook from a language-game of extremism in the Czech Republic

Author

Listed:
  • Ondřej Stulík

    (University of West Bohemia)

Abstract

In this article, I present tools for more accurate data collection in selected types of research. My premise is that tools for identifying the equivalence of meaning of different data units can minimise the room for potential error in data collection. A major error may be omitting the data that are semantically equivalent to the research subject and thus wrongly excluding them from the empirical corpus. I focus on the natural language of the actors as a data source domain, specifically on the equivalence of the meaning of various phenomena. The presentation of tools goes from a reflection on meaning as such to the meaning of words, to their equivalence in specific language-games, and to the identification of the purpose of a phenomenon and the determination of the equivalence of such purpose. This scheme shows that the identification of the purpose of a phenomenon is the key to the implication of equivalence. I demonstrate the practical application of the presented tools on the creation of a codebook in research on extremism in the Czech Republic, complemented with recommendations on replicating such a procedure and applying it to other data.

Suggested Citation

  • Ondřej Stulík, 2023. "Recognising and applying equivalent meanings: an example of creating a codebook from a language-game of extremism in the Czech Republic," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1501-1518, April.
    • Handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01418-5
    DOI: 10.1007/s11135-022-01418-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-022-01418-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-022-01418-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Roel Popping, 2018. "Measuring populist discourse using semantic text analysis: a comment," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(5), pages 2163-2172, September.
    2. Paris Aslanidis, 2018. "Measuring populist discourse with semantic text analysis: an application on grassroots populist mobilization," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(3), pages 1241-1263, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ondřej Stulík, 2019. "Do we have all the necessary data? The challenge of measuring populism through metaphors," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2653-2670, September.
    2. Koch, Cédric M., 2021. "Varieties of populism and the challenges to Global Constitutionalism: Dangers promises and implications," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 10(3), pages 400-438.
    3. Laura Cervi & Santiago Tejedor & Mónica Gracia Villar, 2023. "Twitting Against the Enemy: Populist Radical Right Parties Discourse Against the (Political) “Other”," Politics and Governance, Cogitatio Press, vol. 11(2), pages 235-248.
    4. Laura Cervi & Santiago Tejedor, 2020. "Framing “The Gypsy Problem”: Populist Electoral Use of Romaphobia in Italy (2014–2019)," Social Sciences, MDPI, vol. 9(6), pages 1-16, June.
    5. Laura Cervi & Fernando García & Carles Marín-Lladó, 2021. "Populism, Twitter, and COVID-19: Narrative, Fantasies, and Desires," Social Sciences, MDPI, vol. 10(8), pages 1-18, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:57:y:2023:i:2:d:10.1007_s11135-022-01418-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.