HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling

Detalhes bibliográficos
Autor(a) principal: Roemer, Ellen
Data de Publicação: 2021
Outros Autores: Schuberth, Florian, Henseler, Jörg
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/124531
Resumo: Roemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management and Data Systems, 121(12), 2637-2650. https://doi.org/10.1108/IMDS-02-2021-0082
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spelling HTMT2– an improved criterion for assessing discriminant validity in structural equation modelingDiscriminant validityFornell-Larcker criterionHeterotrait-monotrait (HTMT)Measurement model assessmentMonte Carlo simulationStructural equation modeling (SEM)Management Information SystemsIndustrial relationsComputer Science ApplicationsStrategy and ManagementIndustrial and Manufacturing EngineeringRoemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management and Data Systems, 121(12), 2637-2650. https://doi.org/10.1108/IMDS-02-2021-0082Purpose: One popular method to assess discriminant validity in structural equation modeling is the heterotrait-monotrait ratio of correlations (HTMT). However, the HTMT assumes tau-equivalent measurement models, which are unlikely to hold for most empirical studies. To relax this assumption, the authors modify the original HTMT and introduce a new consistent measure for congeneric measurement models: the HTMT2. Design/methodology/approach: The HTMT2 is designed in analogy to the HTMT but relies on the geometric mean instead of the arithmetic mean. A Monte Carlo simulation compares the performance of the HTMT and the HTMT2. In the simulation, several design factors are varied such as loading patterns, sample sizes and inter-construct correlations in order to compare the estimation bias of the two criteria. Findings: The HTMT2 provides less biased estimations of the correlations among the latent variables compared to the HTMT, in particular if indicators loading patterns are heterogeneous. Consequently, the HTMT2 should be preferred over the HTMT to assess discriminant validity in case of congeneric measurement models. Research limitations/implications: However, the HTMT2 can only be determined if all correlations between involved observable variables are positive. Originality/value: This paper introduces the HTMT2 as an improved version of the traditional HTMT. Compared to other approaches assessing discriminant validity, the HTMT2 provides two advantages: (1) the ease of its computation, since HTMT2 is only based on the indicator correlations, and (2) the relaxed assumption of tau-equivalence. The authors highly recommend the HTMT2 criterion over the traditional HTMT for assessing discriminant validity in empirical studies.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNRoemer, EllenSchuberth, FlorianHenseler, Jörg2021-09-14T00:17:19Z2021-11-102021-11-10T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article14application/pdfhttp://hdl.handle.net/10362/124531eng0263-5577PURE: 33697903https://doi.org/10.1108/IMDS-02-2021-0082info: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:RCAAP2024-03-11T05:05:53Zoai:run.unl.pt:10362/124531Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:45:30.768151Repositório 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 HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
title HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
spellingShingle HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
Roemer, Ellen
Discriminant validity
Fornell-Larcker criterion
Heterotrait-monotrait (HTMT)
Measurement model assessment
Monte Carlo simulation
Structural equation modeling (SEM)
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
title_short HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
title_full HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
title_fullStr HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
title_full_unstemmed HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
title_sort HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling
author Roemer, Ellen
author_facet Roemer, Ellen
Schuberth, Florian
Henseler, Jörg
author_role author
author2 Schuberth, Florian
Henseler, Jörg
author2_role author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Roemer, Ellen
Schuberth, Florian
Henseler, Jörg
dc.subject.por.fl_str_mv Discriminant validity
Fornell-Larcker criterion
Heterotrait-monotrait (HTMT)
Measurement model assessment
Monte Carlo simulation
Structural equation modeling (SEM)
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
topic Discriminant validity
Fornell-Larcker criterion
Heterotrait-monotrait (HTMT)
Measurement model assessment
Monte Carlo simulation
Structural equation modeling (SEM)
Management Information Systems
Industrial relations
Computer Science Applications
Strategy and Management
Industrial and Manufacturing Engineering
description Roemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2– an improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management and Data Systems, 121(12), 2637-2650. https://doi.org/10.1108/IMDS-02-2021-0082
publishDate 2021
dc.date.none.fl_str_mv 2021-09-14T00:17:19Z
2021-11-10
2021-11-10T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/124531
url http://hdl.handle.net/10362/124531
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0263-5577
PURE: 33697903
https://doi.org/10.1108/IMDS-02-2021-0082
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eu_rights_str_mv openAccess
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application/pdf
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instacron:RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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