Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions

Detalhes bibliográficos
Autor(a) principal: Elizabeth Sousa Vieira
Data de Publicação: 2014
Outros Autores: José Sarsfield Cabral, Gomes,JANF
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/6662
http://dx.doi.org/10.1002/asi.22981
Resumo: A model based on a set of bibliometric indicators is proposed for the prediction of the ranking of applicants to an academic position as produced by a committee of peers. The results show that a very small number of indicators may lead to a robust prediction of about 75% of the cases. We start with 12 indicators to build a few composite indicators by factor analysis. Following a discrete choice model, we arrive at 3 comparatively good predicative models. We conclude that these models have a surprisingly good predictive power and may help peers in their selection process.
id RCAP_8862a219ba16457aa9c57a465cc08857
oai_identifier_str oai:repositorio.inesctec.pt:123456789/6662
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic PositionsA model based on a set of bibliometric indicators is proposed for the prediction of the ranking of applicants to an academic position as produced by a committee of peers. The results show that a very small number of indicators may lead to a robust prediction of about 75% of the cases. We start with 12 indicators to build a few composite indicators by factor analysis. Following a discrete choice model, we arrive at 3 comparatively good predicative models. We conclude that these models have a surprisingly good predictive power and may help peers in their selection process.2018-01-17T11:44:01Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/6662http://dx.doi.org/10.1002/asi.22981engElizabeth Sousa VieiraJosé Sarsfield CabralGomes,JANFinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:19:55Zoai:repositorio.inesctec.pt:123456789/6662Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:25.562611Repositório 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 Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
title Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
spellingShingle Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
Elizabeth Sousa Vieira
title_short Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
title_full Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
title_fullStr Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
title_full_unstemmed Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
title_sort Definition of a Model Based on Bibliometric Indicators for Assessing Applicants to Academic Positions
author Elizabeth Sousa Vieira
author_facet Elizabeth Sousa Vieira
José Sarsfield Cabral
Gomes,JANF
author_role author
author2 José Sarsfield Cabral
Gomes,JANF
author2_role author
author
dc.contributor.author.fl_str_mv Elizabeth Sousa Vieira
José Sarsfield Cabral
Gomes,JANF
description A model based on a set of bibliometric indicators is proposed for the prediction of the ranking of applicants to an academic position as produced by a committee of peers. The results show that a very small number of indicators may lead to a robust prediction of about 75% of the cases. We start with 12 indicators to build a few composite indicators by factor analysis. Following a discrete choice model, we arrive at 3 comparatively good predicative models. We conclude that these models have a surprisingly good predictive power and may help peers in their selection process.
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01T00:00:00Z
2014
2018-01-17T11:44:01Z
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://repositorio.inesctec.pt/handle/123456789/6662
http://dx.doi.org/10.1002/asi.22981
url http://repositorio.inesctec.pt/handle/123456789/6662
http://dx.doi.org/10.1002/asi.22981
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.none.fl_str_mv application/pdf
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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection 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
repository.mail.fl_str_mv
_version_ 1799131600615636992

Registros relacionados