A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/23610 |
Resumo: | The Babies Born Better international project aimed at surveying women’s experience in childbirth, privileging the qualitative description of this experience. It was translated into several languages and, in each country, there were different strategies for data analysis. However, analysing a qualitative dataset of this dimension, without completely transforming qualitative into quantitative data, poses practical challenges to researchers. Thus, in this article, we aim to explore the potential of using a qualitative data analysis software to avoid homogenising women’s experiences and preserve the subjectivity of responses in the analysis of open-ended questions of the B3 survey. We focused on the Portuguese version of the survey, reporting a thematic, computer assisted qualitative data analysis of 1348 responses. The software acted as a mediator of the researchers’ analysis and interpretation, beyond classical content analysis, without converting qualitative into quantitative data through plain word count. Exploring new possibilities of interpreting not only the meaning, but the relations between categories, may expand the scope of qualitative data analysis. However, we argue that the use of a software should not be overvalued, as such strategy should always remain as subsidiary to the researcher’s subjective interpretation of data. |
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A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» surveyPortugalBirth experienceMaternity careSubjectivityIntersectionalityOnline surveyQualitative data analysisCAQDASThe Babies Born Better international project aimed at surveying women’s experience in childbirth, privileging the qualitative description of this experience. It was translated into several languages and, in each country, there were different strategies for data analysis. However, analysing a qualitative dataset of this dimension, without completely transforming qualitative into quantitative data, poses practical challenges to researchers. Thus, in this article, we aim to explore the potential of using a qualitative data analysis software to avoid homogenising women’s experiences and preserve the subjectivity of responses in the analysis of open-ended questions of the B3 survey. We focused on the Portuguese version of the survey, reporting a thematic, computer assisted qualitative data analysis of 1348 responses. The software acted as a mediator of the researchers’ analysis and interpretation, beyond classical content analysis, without converting qualitative into quantitative data through plain word count. Exploring new possibilities of interpreting not only the meaning, but the relations between categories, may expand the scope of qualitative data analysis. However, we argue that the use of a software should not be overvalued, as such strategy should always remain as subsidiary to the researcher’s subjective interpretation of data.MDPI2021-11-30T16:56:31Z2021-01-01T00:00:00Z20212021-11-30T16:55:56Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/23610eng2076-076010.3390/socsci10100388Santos, M.Neves, D. M.info: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:RCAAP2023-11-09T17:59:01Zoai:repositorio.iscte-iul.pt:10071/23610Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:30:51.089431Repositório 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 |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey |
title |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey |
spellingShingle |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey Santos, M. Portugal Birth experience Maternity care Subjectivity Intersectionality Online survey Qualitative data analysis CAQDAS |
title_short |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey |
title_full |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey |
title_fullStr |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey |
title_full_unstemmed |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey |
title_sort |
A manifest against the homogenisation of childbirth experiences: Preserving subjectiveness in a large dataset of the «Babies Born Better» survey |
author |
Santos, M. |
author_facet |
Santos, M. Neves, D. M. |
author_role |
author |
author2 |
Neves, D. M. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Santos, M. Neves, D. M. |
dc.subject.por.fl_str_mv |
Portugal Birth experience Maternity care Subjectivity Intersectionality Online survey Qualitative data analysis CAQDAS |
topic |
Portugal Birth experience Maternity care Subjectivity Intersectionality Online survey Qualitative data analysis CAQDAS |
description |
The Babies Born Better international project aimed at surveying women’s experience in childbirth, privileging the qualitative description of this experience. It was translated into several languages and, in each country, there were different strategies for data analysis. However, analysing a qualitative dataset of this dimension, without completely transforming qualitative into quantitative data, poses practical challenges to researchers. Thus, in this article, we aim to explore the potential of using a qualitative data analysis software to avoid homogenising women’s experiences and preserve the subjectivity of responses in the analysis of open-ended questions of the B3 survey. We focused on the Portuguese version of the survey, reporting a thematic, computer assisted qualitative data analysis of 1348 responses. The software acted as a mediator of the researchers’ analysis and interpretation, beyond classical content analysis, without converting qualitative into quantitative data through plain word count. Exploring new possibilities of interpreting not only the meaning, but the relations between categories, may expand the scope of qualitative data analysis. However, we argue that the use of a software should not be overvalued, as such strategy should always remain as subsidiary to the researcher’s subjective interpretation of data. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-30T16:56:31Z 2021-01-01T00:00:00Z 2021 2021-11-30T16:55:56Z |
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 |
http://hdl.handle.net/10071/23610 |
url |
http://hdl.handle.net/10071/23610 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2076-0760 10.3390/socsci10100388 |
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 |
MDPI |
publisher.none.fl_str_mv |
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 |
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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 |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134870468820992 |