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Measuring the semantic priming effect across many languages

Research output: Journal contributions › Journal articles › Research › peer-review

Standard

Measuring the semantic priming effect across many languages. / Author Collaboration of "Measuring the semantic priming effect across many languages"; Buchanan, Erin M.; Heyman, Tom et al.
In: Nature Human Behaviour, 2025.

Research output: Journal contributions › Journal articles › Research › peer-review

Harvard

Author Collaboration of "Measuring the semantic priming effect across many languages", Buchanan, EM, Heyman, T, van Berkel, N, Coles, NA, Sevincer, AT, Tschense, M & Wallot, S 2025, 'Measuring the semantic priming effect across many languages', Nature Human Behaviour. https://doi.org/10.1038/s41562-025-02254-x

APA

Author Collaboration of "Measuring the semantic priming effect across many languages", Buchanan, E. M., Heyman, T., van Berkel, N., Coles, N. A., Sevincer, A. T., Tschense, M., & Wallot, S. (in press). Measuring the semantic priming effect across many languages. Nature Human Behaviour. https://doi.org/10.1038/s41562-025-02254-x

Vancouver

Author Collaboration of "Measuring the semantic priming effect across many languages", Buchanan EM, Heyman T, van Berkel N, Coles NA, Sevincer AT et al. Measuring the semantic priming effect across many languages. Nature Human Behaviour. 2025. doi: 10.1038/s41562-025-02254-x

Bibtex

@article{aeb38511a8184a6a9620b0baba0b41c8,
title = "Measuring the semantic priming effect across many languages",
abstract = "Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. Although previous studies provide insight into the cognitive underpinnings of semantic representations, they have suffered from small sample sizes and a lack of linguistic and cultural diversity. In this Registered Report, we measured the size and the variability of the semantic priming effect across 19 languages (n = 25,163 participants analysed) by creating the largest available database of semantic priming values using an adaptive sampling procedure. We found evidence for semantic priming in terms of differences in response latencies between related word-pair conditions and unrelated word-pair conditions. Model comparisons showed that the inclusion of a random intercept for language improved model fit, providing support for variability in semantic priming across languages. This study highlights the robustness and variability of semantic priming across languages and provides a rich, linguistically diverse dataset for further analysis. The Stage 1 protocol for this Registered Report was accepted in principle on 15 July 2022. The protocol, as accepted by the journal, can be found at https://osf.io/u5bp6 (registration) or https://osf.io/q4fjy (preprint version 6, 31 May 2022).",
keywords = "Psychology, Educational science",
author = "{Author Collaboration of {"}Measuring the semantic priming effect across many languages{"}} and Buchanan, {Erin M.} and Kelly Cuccolo and Tom Heyman and {van Berkel}, Niels and Coles, {Nicholas A.} and Aishwarya Iyer and Kim Peters and {van {\textquoteright}t Veer}, {A. E.} and Maria Montefinese and Maxwell, {Nicholas P.} and Taylor, {Jack E.} and Valentine, {Kathrene D.} and Patr{\'i}cia Arriaga and Krystian Barzykowski and Leanne Boucher and Collins, {W. Matthew} and Vaidis, {David C.} and Balazs Aczel and Al-Hoorie, {Ali H.} and Ettore Ambrosini and Th{\'e}o Besson and Burin, {Debora I.} and Butt, {Muhammad Mussaffa} and Clarke, {A. J.Benjamin} and Yalda Daryani and El-Dakhs, {Dina Abdel Salam} and Elsherif, {Mahmoud M.} and Maria Fern{\'a}ndez-L{\'o}pez and Ferreira, {Paulo Roberto dos Santos} and Freitag, {Raquel Meister Ko} and Gattei, {Carolina A.} and Hendrik Godbersen and Grim, {Philip A.} and Peter Halama and Patrik Havan and Irrazabal, {Natalia C.} and Chris Isloi and Iversen, {Rebecca Kvisler} and Yoann Julliard and Aslan Karaaslan and Michal Koh{\'u}t and Veronika Koh{\'u}tov{\'a} and Julija Kos and Kosachenko, {Alexandra I.} and Lima, {Tiago Jess{\'e} Souza de} and Mak, {Matthew H.C.} and Christina Manouilidou and Sevincer, {A. Timur} and Monika Tschense and Sebastian Wallot",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive licence to Springer Nature Limited 2025.",
year = "2025",
doi = "10.1038/s41562-025-02254-x",
language = "English",
journal = "Nature Human Behaviour",
issn = "2397-3374",
publisher = "Nature Publishing Group",

}

RIS

TY - JOUR

T1 - Measuring the semantic priming effect across many languages

AU - Author Collaboration of "Measuring the semantic priming effect across many languages"

AU - Buchanan, Erin M.

AU - Cuccolo, Kelly

AU - Heyman, Tom

AU - van Berkel, Niels

AU - Coles, Nicholas A.

AU - Iyer, Aishwarya

AU - Peters, Kim

AU - van ’t Veer, A. E.

AU - Montefinese, Maria

AU - Maxwell, Nicholas P.

AU - Taylor, Jack E.

AU - Valentine, Kathrene D.

AU - Arriaga, Patrícia

AU - Barzykowski, Krystian

AU - Boucher, Leanne

AU - Collins, W. Matthew

AU - Vaidis, David C.

AU - Aczel, Balazs

AU - Al-Hoorie, Ali H.

AU - Ambrosini, Ettore

AU - Besson, Théo

AU - Burin, Debora I.

AU - Butt, Muhammad Mussaffa

AU - Clarke, A. J.Benjamin

AU - Daryani, Yalda

AU - El-Dakhs, Dina Abdel Salam

AU - Elsherif, Mahmoud M.

AU - Fernández-López, Maria

AU - Ferreira, Paulo Roberto dos Santos

AU - Freitag, Raquel Meister Ko

AU - Gattei, Carolina A.

AU - Godbersen, Hendrik

AU - Grim, Philip A.

AU - Halama, Peter

AU - Havan, Patrik

AU - Irrazabal, Natalia C.

AU - Isloi, Chris

AU - Iversen, Rebecca Kvisler

AU - Julliard, Yoann

AU - Karaaslan, Aslan

AU - Kohút, Michal

AU - Kohútová, Veronika

AU - Kos, Julija

AU - Kosachenko, Alexandra I.

AU - Lima, Tiago Jessé Souza de

AU - Mak, Matthew H.C.

AU - Manouilidou, Christina

AU - Sevincer, A. Timur

AU - Tschense, Monika

AU - Wallot, Sebastian

N1 - Publisher Copyright: © The Author(s), under exclusive licence to Springer Nature Limited 2025.

PY - 2025

Y1 - 2025

N2 - Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. Although previous studies provide insight into the cognitive underpinnings of semantic representations, they have suffered from small sample sizes and a lack of linguistic and cultural diversity. In this Registered Report, we measured the size and the variability of the semantic priming effect across 19 languages (n = 25,163 participants analysed) by creating the largest available database of semantic priming values using an adaptive sampling procedure. We found evidence for semantic priming in terms of differences in response latencies between related word-pair conditions and unrelated word-pair conditions. Model comparisons showed that the inclusion of a random intercept for language improved model fit, providing support for variability in semantic priming across languages. This study highlights the robustness and variability of semantic priming across languages and provides a rich, linguistically diverse dataset for further analysis. The Stage 1 protocol for this Registered Report was accepted in principle on 15 July 2022. The protocol, as accepted by the journal, can be found at https://osf.io/u5bp6 (registration) or https://osf.io/q4fjy (preprint version 6, 31 May 2022).

AB - Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. Although previous studies provide insight into the cognitive underpinnings of semantic representations, they have suffered from small sample sizes and a lack of linguistic and cultural diversity. In this Registered Report, we measured the size and the variability of the semantic priming effect across 19 languages (n = 25,163 participants analysed) by creating the largest available database of semantic priming values using an adaptive sampling procedure. We found evidence for semantic priming in terms of differences in response latencies between related word-pair conditions and unrelated word-pair conditions. Model comparisons showed that the inclusion of a random intercept for language improved model fit, providing support for variability in semantic priming across languages. This study highlights the robustness and variability of semantic priming across languages and provides a rich, linguistically diverse dataset for further analysis. The Stage 1 protocol for this Registered Report was accepted in principle on 15 July 2022. The protocol, as accepted by the journal, can be found at https://osf.io/u5bp6 (registration) or https://osf.io/q4fjy (preprint version 6, 31 May 2022).

KW - Psychology

KW - Educational science

UR - http://www.scopus.com/inward/record.url?scp=105017844574&partnerID=8YFLogxK

U2 - 10.1038/s41562-025-02254-x

DO - 10.1038/s41562-025-02254-x

M3 - Journal articles

C2 - 40993402

AN - SCOPUS:105017844574

JO - Nature Human Behaviour

JF - Nature Human Behaviour

SN - 2397-3374

ER -

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