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Anonymized Data Assessment via Analysis of Variance: An Application to Higher Education Evaluation

2023-07-01Book part Restricted access
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dc.contributor.authorFerrão, Maria Eugénia
dc.contributor.authorPrata, Paula
dc.contributor.authorFazendeiro, Paulo
dc.date.accessioned2023-09-06T08:50:26Z
dc.date.available2023-09-06T08:50:26Z
dc.date.issued2023-07-01
dc.description.abstractThe assessment of the utility of an anonymized data set can be operational-ized by the determination of the amount of information loss. To investigate the possible degradation of the relationship between variables after anony-mization, hence measuring the loss, we perform an a posteriori analysis of variance. Several anonymized scenarios are compared with the original data. Differential privacy is applied as data anonymization process. We assess data utility based on the agreement between the original data structure and the anonymized structures. Data quality and utility are quantified by standard metrics, characteristics of the groups obtained. In addition, we use analysis of variance to show how estimates change. For illustration, we apply this ap-proach to Brazilian Higher Education data with focus on the main effects of interaction terms involving gender differentiation. The findings indicate that blindly using anonymized data for scientific purposes could potentially un-dermine the validity of the conclusions.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFerrão, M.E., Prata, P., Fazendeiro, P. (2023). Anonymized Data Assessment via Analysis of Variance: An Application to Higher Education Evaluation. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14105. Springer, Cham. https://doi.org/10.1007/978-3-031-37108-0_9pt_PT
dc.identifier.doi10.1007/978-3-031-37108-0_9pt_PT
dc.identifier.isbn978-3-031-37107-3
dc.identifier.urihttp://hdl.handle.net/10400.6/13417
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.relationResearch in Economics and Mathematics
dc.relationInstituto de Telecomunicações
dc.subjectData anonymizationpt_PT
dc.subjectDifferential privacypt_PT
dc.subjectData utilitypt_PT
dc.subjectData qualitypt_PT
dc.subjectENADEpt_PT
dc.titleAnonymized Data Assessment via Analysis of Variance: An Application to Higher Education Evaluationpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleResearch in Economics and Mathematics
oaire.awardTitleInstituto de Telecomunicações
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05069%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50008%2F2020/PT
oaire.citation.conferencePlaceHandel, Switzerlandpt_PT
oaire.citation.endPage141pt_PT
oaire.citation.startPage130pt_PT
oaire.citation.volume14105pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFerrão
person.familyNamePrata
person.familyNameFazendeiro
person.givenNameMaria Eugénia
person.givenNamePaula
person.givenNamePaulo
person.identifier.ciencia-id651F-C1C8-44AD
person.identifier.ciencia-id911F-3584-721F
person.identifier.orcid0000-0002-1317-0629
person.identifier.orcid0000-0002-3072-0186
person.identifier.orcid0000-0001-6054-7188
person.identifier.ridA-2665-2011
person.identifier.ridB-7713-2008
person.identifier.scopus-author-id24075949800
person.identifier.scopus-author-id6506143567
person.identifier.scopus-author-id19640174600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
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