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Measuring the semantic priming effect across many languages

Measuring the semantic priming effect across many languages

Buchanan, Erin M., Cuccolo, Kelly, Heyman, Tom, van Berkel, Niels, Coles, Nicholas A., Iyer, Aishwarya, Peters, Kim, van ’t Veer, A. E., Montefinese, Maria, Maxwell, Nicholas P., Taylor, Jack E., Valentine, Kathrene D., Arriaga, Patrícia, Barzykowski, Krystian, Boucher, Leanne, Collins, W. M., Vaidis, David C., Aczel, Balazs, Al-Hoorie, Ali H., Ambrosini, Ettore, Besson, Théo, Burin, Debora I., Butt, Muhammad M., Clarke, A. J. Benjamin, Daryani, Yalda, El-Dakhs, Dina A. S., Elsherif, Mahmoud M., Fernández-López, Maria, Ferreira, Paulo R. S., Freitag, Raquel M. K., Gattei, Carolina A., Godbersen, Hendrik, Grim, Philip A., Halama, Peter, Havan, Patrik, Irrazabal, Natalia C., Isloi, Chris, Iversen, Rebecca K., Julliard, Yoann, Kohút, Michal, Kohútová, Veronika, Kos, Julija, Kosachenko, Alexandra I., d. Lima, Tiago J. S., Mak, Matthew HC, Manouilidou, Christina, Marciaga, Leonardo A., Melinna, Xiaolin M., Miranda, Jacob F., Morvinski, Coby, Muppoor, Aishwarya, Müjdeci, F. Elif, Nielsen, Yngwie A., Oliveros, Juan C., Onič, Jaš, Papadatou-Pastou, Marietta, Patel, Ishani, Pavlović, Zoran, Pažon, Blaž, Pfuhl, Gerit, Pronizius, Ekaterina, Pronizius, Ekaterina, Roettger, Timo B., Ronderos, Camilo R., Ruiz-Fernandez, Susana, Senderecka, Magdalena, Solak, Çağlar, Stückler, Anna, Szekely-Copîndean, Raluca D., Taboh, Analí R., Thériault, Rémi, Tran, Ulrich S., Trecca, Fabio, Ulloa, José Luis, Varga, Marton A., Verheyen, Steven, Pavlović, Tijana Vesić, Vivian, Giada, Wang, Nan, Kristyna Zivna, Kristyna, Yun, Chen C., Clark, Oliver J., Acar, Oguz A., Adamkovič, Matúš, Agnoletti, Giulia, Akil, Atakan M., Alsuhaibani, Zainab, Amenta, Simona, Ananyeva, Olga A., Andreychik, Michael, Angele, Bernhard, Arias Quiñones, Danna C., Arinze, Nwadiogo C., Askelund, Adrian D., Baker, Bradley J., Baskin, Ernest, Batalha, Luisa, Batres, Carlota, Beato, Maria S., Becker, Manuel, Behnke, Maciej, Blaison, Christophe, Borghi, Anna M., Brandstätte, Eduard, Buczny, Jacek, Budak, Nesrin, Cabana, Álvaro, Cai, Zhenguang G., Canessa, Enrique C., Castillejo, Ignacio, Cavdan, Müge, Cecchetti, Luca, Chaigneau, Sergio E., Chang, Feria X. W., Chartier, Christopher R., Chen, Sau-Chin, Cherniaeva, Elena, Christiansen, Morten H., Chuan-Peng, Hu, Chwiłkowska, Patrycja, Comesaña, Montserrat, Cong, Chin Wen, Cowan, Casey, Dandeneau, Stéphane D., David, Oana A., Davis, William E., Demirag Burak, Elif G., Dixson, Barnaby J. W., Du, Hongfei, Duclos, Rod, Duyck, Wouter, Efimova, Liudmila A., Egan, Ciara, Era, Vanessa, Evans, Thomas ORCID logoORCID: https://orcid.org/0000-0002-6670-0718, Exner, Anna, Feldman, Gilad, Fellnhofer, Katharina, Fini, Chiara, Fisher, Sarah E., Flowe, Heather D., Garrido-Vásquez, Patricia, Gatti, Daniele, Geller, Jason, Giannouli, Vaitsa, Gorokhova, Anna S., Griener, Lindsay M., Grigoryev, Dmitry, Grossmann, Igor, Hajighasemi, Mohammadhesam, Handjaras, Giacomo, Hauspie, Cathy and et., al. (2025) Measuring the semantic priming effect across many languages. Nature Human Behaviour. ISSN 2397-3374 (Online) (In Press)

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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 analyzed) by creating the largest available database of semantic priming values based on 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 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.

Item Type: Article
Additional Information: Corresponding author: Erin M. Buchanan, ebuchanan@harrisburgu.edu. * Pre-print: https://sciety.org/articles/activity/10.31219/osf.io/q4fjy_v3 * Pre-print: Publication date: 2022-07-06 Permanent link: https://doi.org/10.3929/ethz-b-000578929 Rights / license: Creative Commons Attribution 4.0 International Originally published in: OSF Preprints, https://doi.org/10.31219/osf.io/q4fjy
Uncontrolled Keywords: semantic priming
Subjects: B Philosophy. Psychology. Religion > BF Psychology
P Language and Literature > P Philology. Linguistics
Faculty / School / Research Centre / Research Group: Faculty of Education, Health & Human Sciences
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development
Faculty of Education, Health & Human Sciences > Institute for Lifecourse Development > Centre for Professional Workforce Development
Faculty of Education, Health & Human Sciences > School of Human Sciences (HUM)
Last Modified: 16 Jun 2025 15:40
URI: http://gala.gre.ac.uk/id/eprint/50644

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