Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/86368 |
Resumo: | In the evolving landscape of psycholinguistic research, this study addresses the inherent complexities of data through advanced analytical methodologies, including permutation tests, bootstrap confidence intervals, and fractile or quantile regression. The methodology and philosophy of our approach deeply resonate with fractal and fractional concepts. Responding to the skewed distributions of data, which are observed in metrics such as reading times, time-to-response, and time-to-submit, our analysis highlights the nuanced interplay between time-to-response and variables like lists, conditions, and plausibility. A particular focus is placed on the implausible sentence response times, showcasing the precision of our chosen methods. The study underscores the profound influence of individual variability, advocating for meticulous analytical rigor in handling intricate and complex datasets. Drawing inspiration from fractal and fractional mathematics, our findings emphasize the broader potential of sophisticated mathematical tools in contemporary research, setting a benchmark for future investigations in psycholinguistics and related disciplines. |
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Advanced mathematical approaches in psycholinguistic data analysis: a methodological insightBootstrap confidence intervalsComplex dataFractal and fractional mathematicsResponse timesFractile or quantile regressionPsycholingtic surveysSkew distributionspermutation testspsycholinguistic surveysCiências Naturais::MatemáticasEducação de qualidadeIn the evolving landscape of psycholinguistic research, this study addresses the inherent complexities of data through advanced analytical methodologies, including permutation tests, bootstrap confidence intervals, and fractile or quantile regression. The methodology and philosophy of our approach deeply resonate with fractal and fractional concepts. Responding to the skewed distributions of data, which are observed in metrics such as reading times, time-to-response, and time-to-submit, our analysis highlights the nuanced interplay between time-to-response and variables like lists, conditions, and plausibility. A particular focus is placed on the implausible sentence response times, showcasing the precision of our chosen methods. The study underscores the profound influence of individual variability, advocating for meticulous analytical rigor in handling intricate and complex datasets. Drawing inspiration from fractal and fractional mathematics, our findings emphasize the broader potential of sophisticated mathematical tools in contemporary research, setting a benchmark for future investigations in psycholinguistics and related disciplines.This research is partially funded by FONDECYT, grant number 1200525 (V.L.) from the National Agency for Research and Development (ANID) of the Chilean government under the Ministry of Science, Technology, Knowledge, and Innovation, and by Portuguese funds through the CMAT—Research Centre of Mathematics of the University of Minho, within projects UIDB/00013/2020 and UIDP/00013/2020 (C.C.). Additionally, research at the Centre for Humanistic Studies (CEHUM) was funded by the FCT-Foundation for Science and Technology, reference CEECIND/04331/2017.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoCastro, CecíliaLeiva, VíctorLourenço-Gomes, Maria do CarmoAmorim, Ana Paula2023-09-052023-09-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/86368eng2504-311010.3390/fractalfract7090670670https://www.mdpi.com/2504-3110/7/9/670info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-12-23T01:38:21Zoai:repositorium.sdum.uminho.pt:1822/86368Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:29:19.771601Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight |
title |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight |
spellingShingle |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight Castro, Cecília Bootstrap confidence intervals Complex data Fractal and fractional mathematics Response times Fractile or quantile regression Psycholingtic surveys Skew distributions permutation tests psycholinguistic surveys Ciências Naturais::Matemáticas Educação de qualidade |
title_short |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight |
title_full |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight |
title_fullStr |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight |
title_full_unstemmed |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight |
title_sort |
Advanced mathematical approaches in psycholinguistic data analysis: a methodological insight |
author |
Castro, Cecília |
author_facet |
Castro, Cecília Leiva, Víctor Lourenço-Gomes, Maria do Carmo Amorim, Ana Paula |
author_role |
author |
author2 |
Leiva, Víctor Lourenço-Gomes, Maria do Carmo Amorim, Ana Paula |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Castro, Cecília Leiva, Víctor Lourenço-Gomes, Maria do Carmo Amorim, Ana Paula |
dc.subject.por.fl_str_mv |
Bootstrap confidence intervals Complex data Fractal and fractional mathematics Response times Fractile or quantile regression Psycholingtic surveys Skew distributions permutation tests psycholinguistic surveys Ciências Naturais::Matemáticas Educação de qualidade |
topic |
Bootstrap confidence intervals Complex data Fractal and fractional mathematics Response times Fractile or quantile regression Psycholingtic surveys Skew distributions permutation tests psycholinguistic surveys Ciências Naturais::Matemáticas Educação de qualidade |
description |
In the evolving landscape of psycholinguistic research, this study addresses the inherent complexities of data through advanced analytical methodologies, including permutation tests, bootstrap confidence intervals, and fractile or quantile regression. The methodology and philosophy of our approach deeply resonate with fractal and fractional concepts. Responding to the skewed distributions of data, which are observed in metrics such as reading times, time-to-response, and time-to-submit, our analysis highlights the nuanced interplay between time-to-response and variables like lists, conditions, and plausibility. A particular focus is placed on the implausible sentence response times, showcasing the precision of our chosen methods. The study underscores the profound influence of individual variability, advocating for meticulous analytical rigor in handling intricate and complex datasets. Drawing inspiration from fractal and fractional mathematics, our findings emphasize the broader potential of sophisticated mathematical tools in contemporary research, setting a benchmark for future investigations in psycholinguistics and related disciplines. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-09-05 2023-09-05T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/86368 |
url |
https://hdl.handle.net/1822/86368 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2504-3110 10.3390/fractalfract7090670 670 https://www.mdpi.com/2504-3110/7/9/670 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799133560988237824 |