Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | preprint |
Idioma: | por |
Título da fonte: | SciELO Preprints |
Texto Completo: | https://preprints.scielo.org/index.php/scielo/preprint/view/3978 |
Resumo: | Partial Least Squares Structural Equation Modeling (PLS-SEM) has been used by Business Administration researchers to model hierarchical constructs. However, through a bibliographic survey (in papers published in 2021 in the core Brazilian Business Administration journals classified as A2 in the Qualis/Capes classification system for quality of academic production) and in previous studies, the inadequacy of the way for specificating, estimating, validating and reporting has been identified. In addition, from the literature review, it was noticed the absence of clear guidelines, especially linked to the way of measuring the higher-order component of hierarchical constructs. Addressing this concern, this paper provides guidance on specifying, estimating, evaluating and reporting models of hierarchical components in PLS-SEM,specifically for second-order constructs. This guidance can support scholars and researchers who use higher-order constructs in their studies. |
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Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructsModelos de Componentes Hierárquicos em Modelagem de Equações Estruturais com Mínimos Quadrados Parciais: orientações para construtos de segunda ordemModelagem de equações estruturais com mínimos quadrados parciaisModelos de componentes hierárquicosModelos de ordem superiorConstrutos de segunda ordemPartial Least Squares Structural Equation ModelingPLS-SEMHierarchical component modelsHigher-order modelsSecond-order constructsPartial Least Squares Structural Equation Modeling (PLS-SEM) has been used by Business Administration researchers to model hierarchical constructs. However, through a bibliographic survey (in papers published in 2021 in the core Brazilian Business Administration journals classified as A2 in the Qualis/Capes classification system for quality of academic production) and in previous studies, the inadequacy of the way for specificating, estimating, validating and reporting has been identified. In addition, from the literature review, it was noticed the absence of clear guidelines, especially linked to the way of measuring the higher-order component of hierarchical constructs. Addressing this concern, this paper provides guidance on specifying, estimating, evaluating and reporting models of hierarchical components in PLS-SEM,specifically for second-order constructs. This guidance can support scholars and researchers who use higher-order constructs in their studies.A modelagem de equações estruturais com mínimos quadrados parciais (Partial Least Squares Structural Equation Modeling – PLS-SEM) tem sido empregada para modelar construtos hierárquicos em estudos na área de Administração. No entanto, no levantamento realizado nesta pesquisa (em artigos publicados em 2021 nos periódicos core da área de Administração classificados como A2 no Qualis/Capes) e em estudos anteriores foi identificada a inadequação da forma de relatar como as pesquisas foram realizadas. Além disso, da revisão da literatura, percebeu-se a ausência de diretrizes claras, sobretudo em relação a forma de mensuração do componente de ordem superior de construtos hierárquicos. Como resposta a isso, apresenta-se neste artigo orientações sobre como especificar, estimar e avaliar modelos de componentes hierárquicos em PLS-SEM, mais especificamente para construtos de segunda ordem, e também sobre como relatar a configuração utilizada e os resultados obtidos. Essas orietações podem apoiar autores a aumentar a transparência dos procedimentos metodológicos dos seus estudos, bem como podem auxiliar editores e revisores no desenvolvimento de questões específicas que podem ser aprimoradas em processos de arbitragem científica, contribuindo, dessa forma, para confiabilidade do conhecimento acadêmico produzido.SciELO PreprintsSciELO PreprintsSciELO Preprints2022-05-17info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/397810.1590/SciELOPreprints.3978porhttps://preprints.scielo.org/index.php/scielo/article/view/3978/7838Copyright (c) 2022 Adonai José Lacruz, Walter Macêdo de Assis, Thiago de Andrade Guedeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLacruz, Adonai JoséAssis, Walter Macêdo deGuedes, Thiago de Andradereponame:SciELO Preprintsinstname:SciELOinstacron:SCI2022-04-19T10:33:58Zoai:ops.preprints.scielo.org:preprint/3978Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2022-04-19T10:33:58SciELO Preprints - SciELOfalse |
dc.title.none.fl_str_mv |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs Modelos de Componentes Hierárquicos em Modelagem de Equações Estruturais com Mínimos Quadrados Parciais: orientações para construtos de segunda ordem |
title |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs |
spellingShingle |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs Lacruz, Adonai José Modelagem de equações estruturais com mínimos quadrados parciais Modelos de componentes hierárquicos Modelos de ordem superior Construtos de segunda ordem Partial Least Squares Structural Equation Modeling PLS-SEM Hierarchical component models Higher-order models Second-order constructs |
title_short |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs |
title_full |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs |
title_fullStr |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs |
title_full_unstemmed |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs |
title_sort |
Hierarchical Component Models in Partial Least Squares Structural Equation Modeling: guidelines for second-order constructs |
author |
Lacruz, Adonai José |
author_facet |
Lacruz, Adonai José Assis, Walter Macêdo de Guedes, Thiago de Andrade |
author_role |
author |
author2 |
Assis, Walter Macêdo de Guedes, Thiago de Andrade |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Lacruz, Adonai José Assis, Walter Macêdo de Guedes, Thiago de Andrade |
dc.subject.por.fl_str_mv |
Modelagem de equações estruturais com mínimos quadrados parciais Modelos de componentes hierárquicos Modelos de ordem superior Construtos de segunda ordem Partial Least Squares Structural Equation Modeling PLS-SEM Hierarchical component models Higher-order models Second-order constructs |
topic |
Modelagem de equações estruturais com mínimos quadrados parciais Modelos de componentes hierárquicos Modelos de ordem superior Construtos de segunda ordem Partial Least Squares Structural Equation Modeling PLS-SEM Hierarchical component models Higher-order models Second-order constructs |
description |
Partial Least Squares Structural Equation Modeling (PLS-SEM) has been used by Business Administration researchers to model hierarchical constructs. However, through a bibliographic survey (in papers published in 2021 in the core Brazilian Business Administration journals classified as A2 in the Qualis/Capes classification system for quality of academic production) and in previous studies, the inadequacy of the way for specificating, estimating, validating and reporting has been identified. In addition, from the literature review, it was noticed the absence of clear guidelines, especially linked to the way of measuring the higher-order component of hierarchical constructs. Addressing this concern, this paper provides guidance on specifying, estimating, evaluating and reporting models of hierarchical components in PLS-SEM,specifically for second-order constructs. This guidance can support scholars and researchers who use higher-order constructs in their studies. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-17 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/preprint info:eu-repo/semantics/publishedVersion |
format |
preprint |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/preprint/view/3978 10.1590/SciELOPreprints.3978 |
url |
https://preprints.scielo.org/index.php/scielo/preprint/view/3978 |
identifier_str_mv |
10.1590/SciELOPreprints.3978 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://preprints.scielo.org/index.php/scielo/article/view/3978/7838 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Adonai José Lacruz, Walter Macêdo de Assis, Thiago de Andrade Guedes https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Adonai José Lacruz, Walter Macêdo de Assis, Thiago de Andrade Guedes https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
publisher.none.fl_str_mv |
SciELO Preprints SciELO Preprints SciELO Preprints |
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SciELO |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - SciELO |
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