P-IRLS-PM : a new approach to non-linear formative consctructs

Detalhes bibliográficos
Autor(a) principal: Lourenço, Francisco de Sousa Gago Prata
Data de Publicação: 2019
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/71863
Resumo: Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Information Analysis and Management
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spelling P-IRLS-PM : a new approach to non-linear formative consctructsPartial Least Squares Path ModelingGeneralized Additive ModelsNon-linear RelationshipsThin-Plate Regression SplinesFormative Measurement ModelDissertation presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Information Analysis and ManagementThe traditional approach to PLS-PM estimated the scores of the formative latent variables as exact linear combinations of their associated manifest variables, not allowing for modelling other relationships besides the linear ones. The present study intends to overcome this limitation, introducing the P-IRLS-PM. The P-IRLS-PM is a new approach to the variance based structural equations models, which intends to widen the spectra of how the formative latent scores are represented by its associated manifest variables. Throughout this work the core concepts of the algorithm P-IRLS-PM will be introduced, followed by a Monte Carlo experiment comparing the new approach with the traditional PLS-PM.Mendes, Jorge MoraisRUNLourenço, Francisco de Sousa Gago Prata2019-06-06T15:48:56Z2019-05-202019-05-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/71863TID:202252450enginfo: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:RCAAP2024-03-11T04:33:44Zoai:run.unl.pt:10362/71863Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:14.172105Repositório 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 P-IRLS-PM : a new approach to non-linear formative consctructs
title P-IRLS-PM : a new approach to non-linear formative consctructs
spellingShingle P-IRLS-PM : a new approach to non-linear formative consctructs
Lourenço, Francisco de Sousa Gago Prata
Partial Least Squares Path Modeling
Generalized Additive Models
Non-linear Relationships
Thin-Plate Regression Splines
Formative Measurement Model
title_short P-IRLS-PM : a new approach to non-linear formative consctructs
title_full P-IRLS-PM : a new approach to non-linear formative consctructs
title_fullStr P-IRLS-PM : a new approach to non-linear formative consctructs
title_full_unstemmed P-IRLS-PM : a new approach to non-linear formative consctructs
title_sort P-IRLS-PM : a new approach to non-linear formative consctructs
author Lourenço, Francisco de Sousa Gago Prata
author_facet Lourenço, Francisco de Sousa Gago Prata
author_role author
dc.contributor.none.fl_str_mv Mendes, Jorge Morais
RUN
dc.contributor.author.fl_str_mv Lourenço, Francisco de Sousa Gago Prata
dc.subject.por.fl_str_mv Partial Least Squares Path Modeling
Generalized Additive Models
Non-linear Relationships
Thin-Plate Regression Splines
Formative Measurement Model
topic Partial Least Squares Path Modeling
Generalized Additive Models
Non-linear Relationships
Thin-Plate Regression Splines
Formative Measurement Model
description Dissertation presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Information Analysis and Management
publishDate 2019
dc.date.none.fl_str_mv 2019-06-06T15:48:56Z
2019-05-20
2019-05-20T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/71863
TID:202252450
url http://hdl.handle.net/10362/71863
identifier_str_mv TID:202252450
dc.language.iso.fl_str_mv eng
language eng
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.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
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