Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)

Detalhes bibliográficos
Autor(a) principal: Henseler, Joerg
Data de Publicação: 2014
Outros Autores: Dijkstra, Theo K., Sarstedt, Marko, Ringle, Christian M., Diamantopoulos, Adamantios, Straub, Detmar W., Ketchen Jr., David J., Hair, Joseph F., Hult, G. Tomas M., Calantone, Roger J.
Tipo de documento: Artigo
Idioma: und
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/117915
Resumo: Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen Jr., D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013). Organizational Research Methods, 17(2), 182-209. https://doi.org/10.1177/1094428114526928
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spelling Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)Quantitative researchmultivariate analysisStructural equation modelingLinear techniquesPartial least squares path modelingComposite factor modelHenseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen Jr., D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013). Organizational Research Methods, 17(2), 182-209. https://doi.org/10.1177/1094428114526928This article addresses Rönkkö and Evermann’s criticisms of the partial least squares (PLS) approach to structural equation modeling. We contend that the alleged shortcomings of PLS are not due to problems with the technique, but instead to three problems with Rönkkö and Evermann’s study: (a) the adherence to the common factor model, (b) a very limited simulation designs, and (c) overstretched generalizations of their findings. Whereas Rönkkö and Evermann claim to be dispelling myths about PLS, they have in reality created new myths that we, in turn, debunk. By examining their claims, our article contributes to reestablishing a constructive discussion of the PLS method and its properties. We show that PLS does offer advantages for exploratory research and that it is a viable estimator for composite factor models. This can pose an interesting alternative if the common factor model does not hold. Therefore, we can conclude that PLS should continue to be used as an important statistical tool for management and organizational research, as well as other social science disciplines.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNHenseler, JoergDijkstra, Theo K.Sarstedt, MarkoRingle, Christian M.Diamantopoulos, AdamantiosStraub, Detmar W.Ketchen Jr., David J.Hair, Joseph F.Hult, G. Tomas M.Calantone, Roger J.2021-05-18T22:57:34Z2014-01-012014-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10362/117915und1094-4281PURE: 482443https://doi.org/10.1177/1094428114526928info: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:RCAAP2024-03-11T05:00:59Zoai:run.unl.pt:10362/117915Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:43:44.541940Repositório 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 Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
title Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
spellingShingle Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
Henseler, Joerg
Quantitative research
multivariate analysis
Structural equation modeling
Linear techniques
Partial least squares path modeling
Composite factor model
title_short Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
title_full Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
title_fullStr Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
title_full_unstemmed Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
title_sort Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013)
author Henseler, Joerg
author_facet Henseler, Joerg
Dijkstra, Theo K.
Sarstedt, Marko
Ringle, Christian M.
Diamantopoulos, Adamantios
Straub, Detmar W.
Ketchen Jr., David J.
Hair, Joseph F.
Hult, G. Tomas M.
Calantone, Roger J.
author_role author
author2 Dijkstra, Theo K.
Sarstedt, Marko
Ringle, Christian M.
Diamantopoulos, Adamantios
Straub, Detmar W.
Ketchen Jr., David J.
Hair, Joseph F.
Hult, G. Tomas M.
Calantone, Roger J.
author2_role author
author
author
author
author
author
author
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, Joerg
Dijkstra, Theo K.
Sarstedt, Marko
Ringle, Christian M.
Diamantopoulos, Adamantios
Straub, Detmar W.
Ketchen Jr., David J.
Hair, Joseph F.
Hult, G. Tomas M.
Calantone, Roger J.
dc.subject.por.fl_str_mv Quantitative research
multivariate analysis
Structural equation modeling
Linear techniques
Partial least squares path modeling
Composite factor model
topic Quantitative research
multivariate analysis
Structural equation modeling
Linear techniques
Partial least squares path modeling
Composite factor model
description Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen Jr., D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common Beliefs and Reality About PLS: Comments on Ronnkko and Evermann (2013). Organizational Research Methods, 17(2), 182-209. https://doi.org/10.1177/1094428114526928
publishDate 2014
dc.date.none.fl_str_mv 2014-01-01
2014-01-01T00:00:00Z
2021-05-18T22:57:34Z
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://hdl.handle.net/10362/117915
url http://hdl.handle.net/10362/117915
dc.language.iso.fl_str_mv und
language und
dc.relation.none.fl_str_mv 1094-4281
PURE: 482443
https://doi.org/10.1177/1094428114526928
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
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