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Let’s talk about language—and its role for replicability

Author

Listed:
  • Xenia Schmalz

    (University Hospital, Ludwig-Maximilians-University of Munich)

  • Johannes Breuer

    (GESIS—Leibniz Institute for the Social Sciences)

  • Mario Haim

    (Ludwig-Maximilians-University of Munich)

  • Andrea Hildebrandt

    (Carl von Ossietzky Universität Oldenburg)

  • Philipp Knöpfle

    (Ludwig-Maximilians-University of Munich)

  • Anna Yi Leung

    (University Hospital, Ludwig-Maximilians-University of Munich)

  • Timo Roettger

    (University of Oslo)

Abstract

Science strives towards a credible and comprehensive understanding of the world around us. Across disciplines within the social and behavioural sciences (and beyond), limitations in the implementation of the scientific approach have been identified in recent studies, showing low replicability of many results. This is an issue for knowledge accumulation, theory-building, and evidence-based decision and policy making. Researchers have proposed several solutions to address these issues, focusing mainly on improving statistical methods, data quality, and transparency. However, relatively little attention has been paid to another key aspect that affects replicability: language. Across fields, language plays a central role in all steps of the research cycle and is a critical communication tool among researchers. Neglecting its role may reduce replicability and limit our understanding of theoretically interesting differences and similarities across languages. After identifying these challenges, we provide some recommendations and an outlook on how replicability challenges related to language may be addressed.

Suggested Citation

  • Xenia Schmalz & Johannes Breuer & Mario Haim & Andrea Hildebrandt & Philipp Knöpfle & Anna Yi Leung & Timo Roettger, 2025. "Let’s talk about language—and its role for replicability," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-6, December.
  • Handle: RePEc:pal:palcom:v:12:y:2025:i:1:d:10.1057_s41599-025-04381-2
    DOI: 10.1057/s41599-025-04381-2
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    References listed on IDEAS

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    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
    2. William Meredith, 1993. "Measurement invariance, factor analysis and factorial invariance," Psychometrika, Springer;The Psychometric Society, vol. 58(4), pages 525-543, December.
    3. Joseph Henrich & Steve J. Heine & Ara Norenzayan, 2010. "The Weirdest People in the World?," RatSWD Working Papers 139, German Data Forum (RatSWD).
    4. Jeffrey M. Perkel, 2020. "Challenge to scientists: does your ten-year-old code still run?," Nature, Nature, vol. 584(7822), pages 656-658, August.
    5. Brittany I. Davidson & Darja Wischerath & Daniel Racek & Douglas A. Parry & Emily Godwin & Joanne Hinds & Dirk Linden & Jonathan F. Roscoe & Laura Ayravainen & Alicia G. Cork, 2023. "Platform-controlled social media APIs threaten open science," Nature Human Behaviour, Nature, vol. 7(12), pages 2054-2057, December.
    6. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.
    7. Josephine Lukito & Jason Greenfield & Yunkang Yang & Ross Dahlke & Megan A. Brown & Rebecca Lewis & Bin Chen, 2024. "Audio-as-Data Tools: Replicating Computational Data Processing," Media and Communication, Cogitatio Press, vol. 12.
    8. Philipp Knöpfle & Tim Schatto-Eckrodt, 2024. "The Challenges of Replicating Volatile Platform-Data Studies: Replicating Schatto-Eckrodt et al. (2020)," Media and Communication, Cogitatio Press, vol. 12.
    Full references (including those not matched with items on IDEAS)

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