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dc.contributor.authorSolier, Clara
dc.contributor.authorPerret, Cyril
dc.date.accessioned2024-05-24T12:26:55Z
dc.date.available2024-05-24T12:26:55Z
dc.date.issued2024
dc.identifier.citationPerret, C., & Solier, C. (2024). Data from the Paper Entitled “Application of a Bayesian Approach for Exploring the Impact of Syllable Frequency in Handwritten Picture Naming”. Journal of Open Psychology Data, 12: 5, pp. 1–7. DOI: https://doi.org/10.5334/jopd.110es_ES
dc.identifier.citationJournal of Cognition
dc.identifier.issn2050-9863
dc.identifier.urihttp://hdl.handle.net/10810/68146
dc.descriptionPublished on 6 May 2024es_ES
dc.description.abstractThe data presented here comes from the Perret and Solier (2022) study. 30 participants handwrote labels for 150 black-and-white drawings. The experiment was carried out using the DmDx program. Response times and production errors were the two behavioral reported measures. DmDx scripts and data are available on the OSF platform (DOI: https://doi.org/10.17605/OSF.IO/GAZF3). These data should be useful for pre-testing to explore new hypotheses, as well as for methodological elements (e.g., sample size estimation, estimation of a priori distributions for Bayesian analyses).es_ES
dc.description.sponsorshipThe data were collected as part of the project “Integrating psycholinguistic, neurolinguistic and functional neuroimaging approaches in the study of normal and impaired language production, with focus on phonological encoding” led by Marina Laganaro (Grant number: 118969).es_ES
dc.language.isoenges_ES
dc.publisherUBIQUITY PRESSes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectHandwritten productiones_ES
dc.subjectResponse syllableses_ES
dc.subjectError productiones_ES
dc.titleData from the Paper Entitled “Application of a Bayesian Approach for Exploring the Impact of Syllable Frequency in Handwritten Picture Naming”es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2024 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. Journal of Open Psychology Data is a peer-reviewed open access journal published by Ubiquity Press.es_ES
dc.relation.publisherversionhttps://openpsychologydata.metajnl.com/es_ES
dc.identifier.doi10.5334/jopd.110


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