Analysis of sociodemographic factors influencing students’ data visualization literacy
Autor(a) principal: | |
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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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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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
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