ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY

Detalhes bibliográficos
Autor(a) principal: Rivadeneira, Fabricio Javier
Data de Publicação: 2016
Outros Autores: Figueiredo, Adelaide Maria, Figueiredo, Fernanda Otília, Carvajal, Silvia Mercedes, Rivadeneira, Rodolfo Andres
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Holos
Texto Completo: http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/5003
Resumo: This paper presents the main concepts and results of Data Analysis aims to analyze the evolution of some developed countries and also of some emerging countries that are members of the Organisation for Economic Co-operation and Development (OECD) in what concerns some indicators or variables of well-being during the period 2011-2015, through the STATIS (Structuring Three-way data sets in Statistics) methodology. This methodology allows to analyze the presence of a common structure in several data tables obtained over time, to identify the differences and similarities along the period of time under study and according to well-being indicators included in the “Your Better Life Index” of the OECD, and to analyze the trajectories of the countries. 
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spelling ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGYPrincipal Component AnalysisSTATIS methodologyThree-way data methodswell-being indicatorsThis paper presents the main concepts and results of Data Analysis aims to analyze the evolution of some developed countries and also of some emerging countries that are members of the Organisation for Economic Co-operation and Development (OECD) in what concerns some indicators or variables of well-being during the period 2011-2015, through the STATIS (Structuring Three-way data sets in Statistics) methodology. This methodology allows to analyze the presence of a common structure in several data tables obtained over time, to identify the differences and similarities along the period of time under study and according to well-being indicators included in the “Your Better Life Index” of the OECD, and to analyze the trajectories of the countries. Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte2016-11-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/500310.15628/holos.2016.5003HOLOS; v. 7 (2016); 335-3501807-1600reponame:Holosinstname:Instituto Federal do Rio Grande do Norte (IFRN)instacron:IFRNenghttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/5003/1609Copyright (c) 2016 HOLOSinfo:eu-repo/semantics/openAccessRivadeneira, Fabricio JavierFigueiredo, Adelaide MariaFigueiredo, Fernanda OtíliaCarvajal, Silvia MercedesRivadeneira, Rodolfo Andres2022-05-01T20:20:07Zoai:holos.ifrn.edu.br:article/5003Revistahttp://www2.ifrn.edu.br/ojs/index.php/HOLOSPUBhttp://www2.ifrn.edu.br/ojs/index.php/HOLOS/oaiholos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br1807-16001518-1634opendoar:2022-05-01T20:20:07Holos - Instituto Federal do Rio Grande do Norte (IFRN)false
dc.title.none.fl_str_mv ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
title ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
spellingShingle ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
Rivadeneira, Fabricio Javier
Principal Component Analysis
STATIS methodology
Three-way data methods
well-being indicators
title_short ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
title_full ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
title_fullStr ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
title_full_unstemmed ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
title_sort ANALYSIS OF WELL-BEING IN OECD COUNTRIES THROUGH STATIS METHODOLOGY
author Rivadeneira, Fabricio Javier
author_facet Rivadeneira, Fabricio Javier
Figueiredo, Adelaide Maria
Figueiredo, Fernanda Otília
Carvajal, Silvia Mercedes
Rivadeneira, Rodolfo Andres
author_role author
author2 Figueiredo, Adelaide Maria
Figueiredo, Fernanda Otília
Carvajal, Silvia Mercedes
Rivadeneira, Rodolfo Andres
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Rivadeneira, Fabricio Javier
Figueiredo, Adelaide Maria
Figueiredo, Fernanda Otília
Carvajal, Silvia Mercedes
Rivadeneira, Rodolfo Andres
dc.subject.por.fl_str_mv Principal Component Analysis
STATIS methodology
Three-way data methods
well-being indicators
topic Principal Component Analysis
STATIS methodology
Three-way data methods
well-being indicators
description This paper presents the main concepts and results of Data Analysis aims to analyze the evolution of some developed countries and also of some emerging countries that are members of the Organisation for Economic Co-operation and Development (OECD) in what concerns some indicators or variables of well-being during the period 2011-2015, through the STATIS (Structuring Three-way data sets in Statistics) methodology. This methodology allows to analyze the presence of a common structure in several data tables obtained over time, to identify the differences and similarities along the period of time under study and according to well-being indicators included in the “Your Better Life Index” of the OECD, and to analyze the trajectories of the countries. 
publishDate 2016
dc.date.none.fl_str_mv 2016-11-12
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 http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/5003
10.15628/holos.2016.5003
url http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/5003
identifier_str_mv 10.15628/holos.2016.5003
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www2.ifrn.edu.br/ojs/index.php/HOLOS/article/view/5003/1609
dc.rights.driver.fl_str_mv Copyright (c) 2016 HOLOS
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 HOLOS
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
publisher.none.fl_str_mv Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte
dc.source.none.fl_str_mv HOLOS; v. 7 (2016); 335-350
1807-1600
reponame:Holos
instname:Instituto Federal do Rio Grande do Norte (IFRN)
instacron:IFRN
instname_str Instituto Federal do Rio Grande do Norte (IFRN)
instacron_str IFRN
institution IFRN
reponame_str Holos
collection Holos
repository.name.fl_str_mv Holos - Instituto Federal do Rio Grande do Norte (IFRN)
repository.mail.fl_str_mv holos@ifrn.edu.br||jyp.leite@ifrn.edu.br||propi@ifrn.edu.br
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