Analysis of sociodemographic factors influencing students’ data visualization literacy

Detalhes bibliográficos
Autor(a) principal: Cruz, Mariana dos Santos Rocha
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/27744
Resumo: Mestrado Bolonha em Data Analytics for Business
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spelling Analysis of sociodemographic factors influencing students’ data visualization literacyData VisualizationData visualization LiteracyBinary Logistic RegressionMestrado Bolonha em Data Analytics for BusinessThe rapid pace at which data is created has required the creation of new tools to extract information from large amounts of data. Data visualization has proven effective in facilitating access to essential information from a dataset. For this reason, it is critical to examine Data Visualization Literacy (DVL), particularly in the context in which learning occurs, in schools. Studies related to this topic have been consulted, however, the research done so far to understand the influence of sociodemographic factors on the ability to read, interpret, and draw conclusions from data visualizations has not reached a consensus. Therefore, this study aims to bridge the controversy surrounding the topic by examining whether Age, Sex, Field of studies in High School (FSHS), Current level of education (CLE), and Current field of studies (CFS) predict students’ responses to data visualization questions. In this study, data collection was done through an online survey, which not only contained questions about the sociodemographic characteristics of the students, but also a section intended for data visualization questions. The non-probability convenience sampling technique was used and after processing the collected data, a total of 153 responses were obtained. To analyze the data, 6 binary logistic regressions were developed, each referring to one of the 6 data visualization questions contained in the survey, in order to compare the findings of this study with those previously supported by other authors. The results suggest that all variables except CLE were important factors in predicting students’ ability to answer the data visualization questions correctlyInstituto Superior de Economia e GestãoBastos, JoãoRepositório da Universidade de LisboaCruz, Mariana dos Santos Rocha2023-05-11T10:15:53Z2023-032023-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.5/27744engCruz, Mariana dos Santos Rocha (2023). “Analysis of sociodemographic factors influencing students’ data visualization literacy”. Dissertação de Mestrado. Universidade de Lisboa. Instituto Superior de Economia e Gestãoinfo: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:RCAAP2023-05-14T01:30:45Zoai:www.repository.utl.pt:10400.5/27744Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:01.580371Repositório 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 Analysis of sociodemographic factors influencing students’ data visualization literacy
title Analysis of sociodemographic factors influencing students’ data visualization literacy
spellingShingle Analysis of sociodemographic factors influencing students’ data visualization literacy
Cruz, Mariana dos Santos Rocha
Data Visualization
Data visualization Literacy
Binary Logistic Regression
title_short Analysis of sociodemographic factors influencing students’ data visualization literacy
title_full Analysis of sociodemographic factors influencing students’ data visualization literacy
title_fullStr Analysis of sociodemographic factors influencing students’ data visualization literacy
title_full_unstemmed Analysis of sociodemographic factors influencing students’ data visualization literacy
title_sort Analysis of sociodemographic factors influencing students’ data visualization literacy
author Cruz, Mariana dos Santos Rocha
author_facet Cruz, Mariana dos Santos Rocha
author_role author
dc.contributor.none.fl_str_mv Bastos, João
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Cruz, Mariana dos Santos Rocha
dc.subject.por.fl_str_mv Data Visualization
Data visualization Literacy
Binary Logistic Regression
topic Data Visualization
Data visualization Literacy
Binary Logistic Regression
description Mestrado Bolonha em Data Analytics for Business
publishDate 2023
dc.date.none.fl_str_mv 2023-05-11T10:15:53Z
2023-03
2023-03-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/27744
url http://hdl.handle.net/10400.5/27744
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Cruz, Mariana dos Santos Rocha (2023). “Analysis of sociodemographic factors influencing students’ data visualization literacy”. Dissertação de Mestrado. Universidade de Lisboa. Instituto Superior de Economia e Gestão
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 Instituto Superior de Economia e Gestão
publisher.none.fl_str_mv Instituto Superior de Economia e Gestão
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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