Word-association norms for 1,100 French words with varying levels of concreteness - Université Clermont Auvergne Accéder directement au contenu
Article Dans Une Revue Quarterly Journal of Experimental Psychology Series a Human Experimental Psychology Année : 2023

Word-association norms for 1,100 French words with varying levels of concreteness

Résumé

The organization of concepts in the mental lexicon is a widely studied research topic in experimental psychology. For instance, several studies have shown that whereas concrete concepts are organised according to semantic similarity, abstract concepts are organised according to verbal association. However, these results are not systematically replicated, mainly due to a lack of normative database especially in French. To that end, we introduce a French word association database for 1 100 cues with varying levels of concreteness from abstract to concrete concepts. Analyses from the word association task revealed stronger association strength for concrete concepts compared to abstract concepts. Additional results showed that cues tend to elicit responses of a similar level of concreteness. The database will be useful for investigators interested in French verbal associations for abstract and concrete concepts. The data (available on OSF https://osf.io/dhuqs/) introduce responses organised according to association strength and provides cue concreteness.

Domaines

Psychologie
Fichier principal
Vignette du fichier
Lakhzoum-et-al-2023-QJEP-FINAL.pdf (714.08 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03920422 , version 1 (21-01-2023)

Identifiants

Citer

Dounia Lakhzoum, Marie Izaute, Ludovic Ferrand. Word-association norms for 1,100 French words with varying levels of concreteness. Quarterly Journal of Experimental Psychology Series a Human Experimental Psychology, 2023, 76 (12), pp.2794-2803. ⟨10.1177/17470218231154454⟩. ⟨hal-03920422⟩
80 Consultations
171 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More