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


Journal

Quarterly journal of experimental psychology (2006)
ISSN: 1747-0226
Titre abrégé: Q J Exp Psychol (Hove)
Pays: England
ID NLM: 101259775

Informations de publication

Date de publication:
Dec 2023
Historique:
medline: 27 11 2023
pubmed: 20 1 2023
entrez: 19 1 2023
Statut: ppublish

Résumé

The organisation 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 with 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.

Identifiants

pubmed: 36655943
doi: 10.1177/17470218231154454
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2794-2803

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Dounia Lakhzoum (D)

Université Clermont Auvergne, CNRS, LAPSCO, Clermont-Ferrand, France.

Marie Izaute (M)

Université Clermont Auvergne, CNRS, LAPSCO, Clermont-Ferrand, France.

Ludovic Ferrand (L)

Université Clermont Auvergne, CNRS, LAPSCO, Clermont-Ferrand, France.

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Classifications MeSH