Let’s talk about language—and its role for replicability
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 man...
Saved in:
Main Authors: | , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Nature
2025-01-01
|
Series: | Humanities & Social Sciences Communications |
Online Access: | https://doi.org/10.1057/s41599-025-04381-2 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832585991934705664 |
---|---|
author | Xenia Schmalz Johannes Breuer Mario Haim Andrea Hildebrandt Philipp Knöpfle Anna Yi Leung Timo Roettger |
author_facet | Xenia Schmalz Johannes Breuer Mario Haim Andrea Hildebrandt Philipp Knöpfle Anna Yi Leung Timo Roettger |
author_sort | Xenia Schmalz |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-68f3686e8e0a47ff8473b44bd0c54678 |
institution | Kabale University |
issn | 2662-9992 |
language | English |
publishDate | 2025-01-01 |
publisher | Springer Nature |
record_format | Article |
series | Humanities & Social Sciences Communications |
spelling | doaj-art-68f3686e8e0a47ff8473b44bd0c546782025-01-26T12:20:26ZengSpringer NatureHumanities & Social Sciences Communications2662-99922025-01-011211610.1057/s41599-025-04381-2Let’s talk about language—and its role for replicabilityXenia Schmalz0Johannes Breuer1Mario Haim2Andrea Hildebrandt3Philipp Knöpfle4Anna Yi Leung5Timo Roettger6Department of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-University of MunichGESIS—Leibniz Institute for the Social SciencesDepartment of Media and Communication, Faculty of Social Sciences, Ludwig-Maximilians-University of MunichDepartment of Psychology, School of Medicine and Health Sciences, Carl von Ossietzky Universität OldenburgDepartment of Media and Communication, Faculty of Social Sciences, Ludwig-Maximilians-University of MunichDepartment of Child and Adolescent Psychiatry, Psychosomatics, and Psychotherapy, University Hospital, Ludwig-Maximilians-University of MunichDepartment of Linguistics and Scandinavian Studies, Faculty of Humanities, University of OsloScience 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.https://doi.org/10.1057/s41599-025-04381-2 |
spellingShingle | Xenia Schmalz Johannes Breuer Mario Haim Andrea Hildebrandt Philipp Knöpfle Anna Yi Leung Timo Roettger Let’s talk about language—and its role for replicability Humanities & Social Sciences Communications |
title | Let’s talk about language—and its role for replicability |
title_full | Let’s talk about language—and its role for replicability |
title_fullStr | Let’s talk about language—and its role for replicability |
title_full_unstemmed | Let’s talk about language—and its role for replicability |
title_short | Let’s talk about language—and its role for replicability |
title_sort | let s talk about language and its role for replicability |
url | https://doi.org/10.1057/s41599-025-04381-2 |
work_keys_str_mv | AT xeniaschmalz letstalkaboutlanguageanditsroleforreplicability AT johannesbreuer letstalkaboutlanguageanditsroleforreplicability AT mariohaim letstalkaboutlanguageanditsroleforreplicability AT andreahildebrandt letstalkaboutlanguageanditsroleforreplicability AT philippknopfle letstalkaboutlanguageanditsroleforreplicability AT annayileung letstalkaboutlanguageanditsroleforreplicability AT timoroettger letstalkaboutlanguageanditsroleforreplicability |