Prevalence norms for 40,777 Catalan words: An online megastudy of vocabulary size.

Catalan norms Crowdsourcing megastudy Vocabulary knowledge Word prevalence

Journal

Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316

Informations de publication

Date de publication:
09 2023
Historique:
accepted: 15 08 2022
medline: 9 10 2023
pubmed: 11 9 2022
entrez: 10 9 2022
Statut: ppublish

Résumé

In this study, we present word prevalence data (i.e., the number of people who know a given word) for 40,777 Catalan words. An online massive visual lexical decision task involving more than 200,000 native speakers of this language was carried out. The characteristics of the participants as well as those of the words which mostly influence word knowledge were examined. Regarding the participants, the analysis of the data revealed that their age was the main factor influencing vocabulary size, followed by their educational level and other variables such as the number of languages spoken and their level of proficiency in Catalan. Concerning the words, by far the most determining factor was lexical frequency, with a minor influence of both length and the size of the orthographic neighborhood. These data mainly agree with those reported in other languages in which the same variables have been analyzed (Dutch, English, and Spanish, thus far). Therefore, the list is increased with Catalan, a language which, due to its use in an essentially bilingual context, is of special interest to researchers interested in the field of bilingualism and second language acquisition.

Identifiants

pubmed: 36085541
doi: 10.3758/s13428-022-01959-5
pii: 10.3758/s13428-022-01959-5
pmc: PMC10556174
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

3198-3217

Informations de copyright

© 2022. The Author(s).

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Auteurs

Marc Guasch (M)

Department of Psychology and CRAMC, Universitat Rovira i Virgili, Tarragona, Spain. marc.guasch@urv.cat.

Roger Boada (R)

Department of Psychology and CRAMC, Universitat Rovira i Virgili, Tarragona, Spain.

Jon Andoni Duñabeitia (JA)

Centro de Investigación Nebrija en Cognición, Universidad Antonio de Nebrija, Madrid, Spain.
Department of Languages and Culture, The Arctic University of Norway, Tromsø, Norway.

Pilar Ferré (P)

Department of Psychology and CRAMC, Universitat Rovira i Virgili, Tarragona, Spain.

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Classifications MeSH