Comparing CB-SEM and PLS-SEM results: an empirical example

Suzanne Amaro; Cláudia Seabra; José Luís Abrantes

doi:10.3990/2.357

Comparing CB-SEM and PLS-SEM results: an empirical example

Suzanne Amaro, Cláudia Seabra, José Luís Abrantes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Many scholars view PLS-SEM as less rigorous than CB-SEM, namely due to is less restrictive assumptions. The main objective of this research is to compare the results of both approaches, for a given model, to examine if there are, indeed, noteworthy differences. The study shows that the results obtained in both approaches are very similar. These findings provide useful insights to researchers.

Original language	English
Title of host publication	Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling
Subtitle of host publication	The Conference for PLS Users
Editors	Jörg Henseler, Christian Ringle, José Roldán, Gabriel Cepeda
Place of Publication	Enschede
Publisher	University of Twente
Number of pages	7
ISBN (Print)	9789036540568
DOIs	https://doi.org/10.3990/2.357
Publication status	Published - 2015
Externally published	Yes
Event	2015 PLS User Conference: 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users - Seville, Spain Duration: 16 Jun 2015 → 19 Jun 2015

Conference

Conference	2015 PLS User Conference
Country/Territory	Spain
City	Seville
Period	16/06/15 → 19/06/15

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10.3990/2.357

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Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users
Henseler, J., Ringle, C., Roldán, J. & Cepeda, G., 2015, Enschede: University of Twente. 414 p.
Research output: Book/Report › Book editing › Popular

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Cite this

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title = "Comparing CB-SEM and PLS-SEM results: an empirical example",

abstract = "Many scholars view PLS-SEM as less rigorous than CB-SEM, namely due to is less restrictive assumptions. The main objective of this research is to compare the results of both approaches, for a given model, to examine if there are, indeed, noteworthy differences. The study shows that the results obtained in both approaches are very similar. These findings provide useful insights to researchers.",

author = "Suzanne Amaro and Cl{\'a}udia Seabra and Abrantes, {Jos{\'e} Lu{\'i}s}",

year = "2015",

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booktitle = "Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling",

publisher = "University of Twente",

address = "Netherlands",

note = "2015 PLS User Conference : 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users ; Conference date: 16-06-2015 Through 19-06-2015",

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Amaro, S, Seabra, C & Abrantes, JL 2015, Comparing CB-SEM and PLS-SEM results: an empirical example. in J Henseler, C Ringle, J Roldán & G Cepeda (eds), Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users. University of Twente, Enschede, 2015 PLS User Conference, Seville, Spain, 16/06/15. https://doi.org/10.3990/2.357

Comparing CB-SEM and PLS-SEM results: an empirical example. / Amaro, Suzanne; Seabra, Cláudia; Abrantes, José Luís.
Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users. ed. / Jörg Henseler; Christian Ringle; José Roldán; Gabriel Cepeda. Enschede: University of Twente, 2015.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Comparing CB-SEM and PLS-SEM results

T2 - 2015 PLS User Conference

AU - Amaro, Suzanne

AU - Seabra, Cláudia

AU - Abrantes, José Luís

PY - 2015

Y1 - 2015

N2 - Many scholars view PLS-SEM as less rigorous than CB-SEM, namely due to is less restrictive assumptions. The main objective of this research is to compare the results of both approaches, for a given model, to examine if there are, indeed, noteworthy differences. The study shows that the results obtained in both approaches are very similar. These findings provide useful insights to researchers.

AB - Many scholars view PLS-SEM as less rigorous than CB-SEM, namely due to is less restrictive assumptions. The main objective of this research is to compare the results of both approaches, for a given model, to examine if there are, indeed, noteworthy differences. The study shows that the results obtained in both approaches are very similar. These findings provide useful insights to researchers.

U2 - 10.3990/2.357

DO - 10.3990/2.357

M3 - Conference contribution

SN - 9789036540568

BT - Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling

A2 - Henseler, Jörg

A2 - Ringle, Christian

A2 - Roldán, José

A2 - Cepeda, Gabriel

PB - University of Twente

CY - Enschede

Y2 - 16 June 2015 through 19 June 2015

ER -

Comparing CB-SEM and PLS-SEM results: an empirical example

Abstract

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Research output

Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users

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