A new criterion for assessing discriminant validity in variance-based structural equation modeling

Detalhes bibliográficos
Autor(a) principal: Henseler, Jörg
Data de Publicação: 2014
Outros Autores: Ringle, Christian M., Sarstedt, Marko
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.1007/s11747-014-0403-8
Resumo: Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal Of The Academy Of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
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spelling A new criterion for assessing discriminant validity in variance-based structural equation modelingCross-loadingsDiscriminant validityFornell-Larcker criterionHeterotrait-monotrait (HTMT) ratio of correlationsMeasurement model assessmentMultitrait-multimethod (MTMM) matrixPartial least squares (PLS)Results evaluationStructural equation modeling (SEM)Business and International ManagementEconomics and EconometricsMarketingHenseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal Of The Academy Of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNHenseler, JörgRingle, Christian M.Sarstedt, Marko2019-06-12T22:14:18Z2014-01-012014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article21application/pdfhttps://doi.org/10.1007/s11747-014-0403-8eng0092-0703PURE: 13727335http://www.scopus.com/inward/record.url?scp=85028154911&partnerID=8YFLogxKhttps://doi.org/10.1007/s11747-014-0403-8info: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:RCAAP2024-03-11T04:33:49Zoai:run.unl.pt:10362/72467Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:35:16.009150Repositório 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 A new criterion for assessing discriminant validity in variance-based structural equation modeling
title A new criterion for assessing discriminant validity in variance-based structural equation modeling
spellingShingle A new criterion for assessing discriminant validity in variance-based structural equation modeling
Henseler, Jörg
Cross-loadings
Discriminant validity
Fornell-Larcker criterion
Heterotrait-monotrait (HTMT) ratio of correlations
Measurement model assessment
Multitrait-multimethod (MTMM) matrix
Partial least squares (PLS)
Results evaluation
Structural equation modeling (SEM)
Business and International Management
Economics and Econometrics
Marketing
title_short A new criterion for assessing discriminant validity in variance-based structural equation modeling
title_full A new criterion for assessing discriminant validity in variance-based structural equation modeling
title_fullStr A new criterion for assessing discriminant validity in variance-based structural equation modeling
title_full_unstemmed A new criterion for assessing discriminant validity in variance-based structural equation modeling
title_sort A new criterion for assessing discriminant validity in variance-based structural equation modeling
author Henseler, Jörg
author_facet Henseler, Jörg
Ringle, Christian M.
Sarstedt, Marko
author_role author
author2 Ringle, Christian M.
Sarstedt, Marko
author2_role author
author
dc.contributor.none.fl_str_mv NOVA Information Management School (NOVA IMS)
Information Management Research Center (MagIC) - NOVA Information Management School
RUN
dc.contributor.author.fl_str_mv Henseler, Jörg
Ringle, Christian M.
Sarstedt, Marko
dc.subject.por.fl_str_mv Cross-loadings
Discriminant validity
Fornell-Larcker criterion
Heterotrait-monotrait (HTMT) ratio of correlations
Measurement model assessment
Multitrait-multimethod (MTMM) matrix
Partial least squares (PLS)
Results evaluation
Structural equation modeling (SEM)
Business and International Management
Economics and Econometrics
Marketing
topic Cross-loadings
Discriminant validity
Fornell-Larcker criterion
Heterotrait-monotrait (HTMT) ratio of correlations
Measurement model assessment
Multitrait-multimethod (MTMM) matrix
Partial least squares (PLS)
Results evaluation
Structural equation modeling (SEM)
Business and International Management
Economics and Econometrics
Marketing
description Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal Of The Academy Of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2014-01-01T00:00:00Z
2019-06-12T22:14:18Z
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 https://doi.org/10.1007/s11747-014-0403-8
url https://doi.org/10.1007/s11747-014-0403-8
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0092-0703
PURE: 13727335
http://www.scopus.com/inward/record.url?scp=85028154911&partnerID=8YFLogxK
https://doi.org/10.1007/s11747-014-0403-8
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 21
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
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