IDEAS home Printed from https://ideas.repec.org/a/cog/meanco/v12y2024a7836.html
   My bibliography  Save this article

Standardized Sampling for Systematic Literature Reviews (STAMP Method): Ensuring Reproducibility and Replicability

Author

Listed:
  • Ayanda Rogge

    (Institute of Media and Communication, TU Dresden, Germany)

  • Luise Anter

    (Institute of Media and Communication, TU Dresden, Germany)

  • Deborah Kunze

    (Institute of Media and Communication, TU Dresden, Germany)

  • Kristin Pomsel

    (Institute of Media and Communication, TU Dresden, Germany)

  • Gregor Willenbrock

    (Institute of Media and Communication, TU Dresden, Germany)

Abstract

Systematic literature reviews (SLRs) are an effective way of mapping a research field and synthesizing research evidence. However, especially in communication research, SLRs often include diverse theories and methods, which come with a considerable downside in terms of reproducibility and replicability. As a response to this problem, the present article introduces the method of standardized sampling for systematic literature reviews (STAMP). The method is a structured, four-stage approach that is centered around score-based screening decisions. Originating from principles of standardized content analysis, a method common in communication research, and supplementing established guidelines like Cochrane or PRISMA, the STAMP method contributes to more transparent, reproducible, and replicable SLR sampling processes. As we illustrate throughout the article, the method is adaptable to various SLR types. The article also discusses the method’s limitations, such as potential coder effects and comparatively high resource intensity. To facilitate the application of STAMP, we provide a comprehensive guideline via the Open Science Framework that offers a succinct overview for quick reference and includes practical examples for different types of SLRs.

Suggested Citation

  • Ayanda Rogge & Luise Anter & Deborah Kunze & Kristin Pomsel & Gregor Willenbrock, 2024. "Standardized Sampling for Systematic Literature Reviews (STAMP Method): Ensuring Reproducibility and Replicability," Media and Communication, Cogitatio Press, vol. 12.
    • Handle: RePEc:cog:meanco:v12:y:2024:a:7836
    DOI: 10.17645/mac.7836
    as

    Download full text from publisher

    File URL: https://www.cogitatiopress.com/mediaandcommunication/article/view/7836
    Download Restriction: no
    File URL: https://libkey.io/10.17645/mac.7836?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
    ---><---

    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:cog:meanco:v12:y:2024:a:7836. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: António Vieira or IT Department (email available below). General contact details of provider: https://www.cogitatiopress.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.