Data visualisation in software supporting qualitative analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta Scientiarum. Education (Online) |
Texto Completo: | https://periodicos.uem.br/ojs/index.php/ActaSciEduc/article/view/52857 |
Resumo: | This text results from research developed in the Postgraduate Program in Education at the Tiradentes University (Unit), in partnership with the University of Aveiro, Portugal, in 2019 and 2020. The objective sought to describe how the Visualization of Data (VD) is represented in the analysis of qualitative data with the support of Qualitative Data Analysis Software (QDAS). To achieve this objective, we reached the inclusion/exclusion criteria. Seven software frequently used today, trying to understand the most frequent representations of HV in QDAS, their structuring, and how they can contribute to the phases of organisation and analysis in a scenario that can vary from small to large amounts of data. The results show that the QDAS can help the researcher visualise the qualitative data analysed with transparency through data visualisation representations that stood out in tables, charts, maps, and representations with movements. During the analysis, it was also observed that each software offers representations in different ways. The type of user/researcher interaction with the generated representations has been an exclusive phenomenon of digital technologies, which visually improves how scientific production knowledge can better circulate knowledge production. |
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Acta Scientiarum. Education (Online) |
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Data visualisation in software supporting qualitative analysisVisualización de los datos en software de soporte análisis cualitativoData visualisation in software supporting qualitative analysisQDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production.QDAS; CAQDAS; representaciones gráficas; investigación cualitativa; tecnología digital; producción científica.QDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production.This text results from research developed in the Postgraduate Program in Education at the Tiradentes University (Unit), in partnership with the University of Aveiro, Portugal, in 2019 and 2020. The objective sought to describe how the Visualization of Data (VD) is represented in the analysis of qualitative data with the support of Qualitative Data Analysis Software (QDAS). To achieve this objective, we reached the inclusion/exclusion criteria. Seven software frequently used today, trying to understand the most frequent representations of HV in QDAS, their structuring, and how they can contribute to the phases of organisation and analysis in a scenario that can vary from small to large amounts of data. The results show that the QDAS can help the researcher visualise the qualitative data analysed with transparency through data visualisation representations that stood out in tables, charts, maps, and representations with movements. During the analysis, it was also observed that each software offers representations in different ways. The type of user/researcher interaction with the generated representations has been an exclusive phenomenon of digital technologies, which visually improves how scientific production knowledge can better circulate knowledge production.Este texto es el resultado de una investigación desarrollada en el Programa de Posgrado en Educación de la Universidad Tiradentes (Unidad), en colaboración con la Universidad de Aveiro, Portugal, en los años 2019 y 2020. El objetivo buscaba describir cómo la Visualización de Los datos (VD) se representan en el análisis de datos cualitativos con el apoyo del software de análisis de datos cualitativos (QDAS). Para lograr este objetivo, alcanzamos, a través de criterios de inclusión/exclusión, 7 (siete) softwares de uso frecuente en la actualidad, tratando de comprender cuáles son las representaciones más frecuentes de HV en QDAS, su estructuración y cómo pueden contribuir a las fases de organización y análisis, en un escenario que puede variar de pequeñas a grandes cantidades de datos. Los resultados muestran que las QDAS son una posibilidad de apoyar al investigador a visualizar los datos cualitativos analizados con transparencia, a través de representaciones de Visualización de Datos que se destacaron en tablas, gráficos, mapas y representaciones con movimientos. También se observó durante los análisis, que cada software ofrece representaciones de diferentes formas, y que el tipo de interacción usuario/investigador con las representaciones generadas, ha sido un fenómeno exclusivo de las tecnologías digitales, que busca mejorar visualmente la forma en que la producción el conocimiento científico puede hacer circular mejor la producción de conocimiento.This text results from research developed in the Postgraduate Program in Education at the Tiradentes University (Unit), in partnership with the University of Aveiro, Portugal, in 2019 and 2020. The objective sought to describe how the Visualization of Data (VD) is represented in the analysis of qualitative data with the support of Qualitative Data Analysis Software (QDAS). To achieve this objective, we reached the inclusion/exclusion criteria. Seven software frequently used today, trying to understand the most frequent representations of HV in QDAS, their structuring, and how they can contribute to the phases of organisation and analysis in a scenario that can vary from small to large amounts of data. The results show that the QDAS can help the researcher visualise the qualitative data analysed with transparency through data visualisation representations that stood out in tables, charts, maps, and representations with movements. During the analysis, it was also observed that each software offers representations in different ways. The type of user/researcher interaction with the generated representations has been an exclusive phenomenon of digital technologies, which visually improves how scientific production knowledge can better circulate knowledge production.Universidade Estadual de Maringá2021-12-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.uem.br/ojs/index.php/ActaSciEduc/article/view/5285710.4025/actascieduc.v44i1.52857Acta Scientiarum. Education; Vol 44 (2022): Publicação contínua; e52857Acta Scientiarum. Education; v. 44 (2022): Publicação contínua; e528572178-52012178-5198reponame:Acta Scientiarum. Education (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttps://periodicos.uem.br/ojs/index.php/ActaSciEduc/article/view/52857/751375153219Copyright (c) 2022 Acta Scientiarum. Educationhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess Andrade, Luiz Rafael dos SantosLinhares, Ronaldo Nunes Costa, António Pedro Souza, Fernanda Santiago do Carmo2022-03-16T16:26:11Zoai:periodicos.uem.br/ojs:article/52857Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciEduc/indexPUBhttps://periodicos.uem.br/ojs/index.php/ActaSciEduc/oaiactaeduc@uem.br||2178-52012178-5198opendoar:2022-03-16T16:26:11Acta Scientiarum. Education (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Data visualisation in software supporting qualitative analysis Visualización de los datos en software de soporte análisis cualitativo Data visualisation in software supporting qualitative analysis |
title |
Data visualisation in software supporting qualitative analysis |
spellingShingle |
Data visualisation in software supporting qualitative analysis Andrade, Luiz Rafael dos Santos QDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production. QDAS; CAQDAS; representaciones gráficas; investigación cualitativa; tecnología digital; producción científica. QDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production. |
title_short |
Data visualisation in software supporting qualitative analysis |
title_full |
Data visualisation in software supporting qualitative analysis |
title_fullStr |
Data visualisation in software supporting qualitative analysis |
title_full_unstemmed |
Data visualisation in software supporting qualitative analysis |
title_sort |
Data visualisation in software supporting qualitative analysis |
author |
Andrade, Luiz Rafael dos Santos |
author_facet |
Andrade, Luiz Rafael dos Santos Linhares, Ronaldo Nunes Costa, António Pedro Souza, Fernanda Santiago do Carmo |
author_role |
author |
author2 |
Linhares, Ronaldo Nunes Costa, António Pedro Souza, Fernanda Santiago do Carmo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Andrade, Luiz Rafael dos Santos Linhares, Ronaldo Nunes Costa, António Pedro Souza, Fernanda Santiago do Carmo |
dc.subject.por.fl_str_mv |
QDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production. QDAS; CAQDAS; representaciones gráficas; investigación cualitativa; tecnología digital; producción científica. QDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production. |
topic |
QDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production. QDAS; CAQDAS; representaciones gráficas; investigación cualitativa; tecnología digital; producción científica. QDAS; CAQDAS; graphical representations; qualitative research; digital technology; scientific production. |
description |
This text results from research developed in the Postgraduate Program in Education at the Tiradentes University (Unit), in partnership with the University of Aveiro, Portugal, in 2019 and 2020. The objective sought to describe how the Visualization of Data (VD) is represented in the analysis of qualitative data with the support of Qualitative Data Analysis Software (QDAS). To achieve this objective, we reached the inclusion/exclusion criteria. Seven software frequently used today, trying to understand the most frequent representations of HV in QDAS, their structuring, and how they can contribute to the phases of organisation and analysis in a scenario that can vary from small to large amounts of data. The results show that the QDAS can help the researcher visualise the qualitative data analysed with transparency through data visualisation representations that stood out in tables, charts, maps, and representations with movements. During the analysis, it was also observed that each software offers representations in different ways. The type of user/researcher interaction with the generated representations has been an exclusive phenomenon of digital technologies, which visually improves how scientific production knowledge can better circulate knowledge production. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-16 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciEduc/article/view/52857 10.4025/actascieduc.v44i1.52857 |
url |
https://periodicos.uem.br/ojs/index.php/ActaSciEduc/article/view/52857 |
identifier_str_mv |
10.4025/actascieduc.v44i1.52857 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.uem.br/ojs/index.php/ActaSciEduc/article/view/52857/751375153219 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Acta Scientiarum. Education https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Acta Scientiarum. Education https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
publisher.none.fl_str_mv |
Universidade Estadual de Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Education; Vol 44 (2022): Publicação contínua; e52857 Acta Scientiarum. Education; v. 44 (2022): Publicação contínua; e52857 2178-5201 2178-5198 reponame:Acta Scientiarum. Education (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Education (Online) |
collection |
Acta Scientiarum. Education (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Education (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
actaeduc@uem.br|| |
_version_ |
1754842070437068800 |