Which equations? An inquiry into the equations in partial least squares structural equation modeling

Florian  Schuberth; Tobias Müller; Jörg Henseler

Which equations? An inquiry into the equations in partial least squares structural equation modeling

Florian Schuberth, Tobias Müller, Jörg Henseler

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

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Abstract

Over the last decade, partial least squares structural equation modeling (PLSSEM) has undergone various enhancements. However, the model equations underlying PLS-SEM have hardly been discussed in the PLS-SEM literature. Consequently, applied researchers are left unaware of the assumptions attached to these
equations and risk unintentionally misspecifying their models. This chapter addresses this issue and reveals the model equations including the implicit assumptions underlying PLS-SEM.

Original language	English
Title of host publication	New perspectives in serving customers, patients, and organizations: A Festschrift for Judit Simon
Editors	Ildikó Kemény, Zsuzsanna Kun
Place of Publication	Budapest
Publisher	Corvinus University of Budapest
Pages	96-115
Number of pages	20
ISBN (Electronic)	978-963-503-869-5
ISBN (Print)	978-963-503-868-8
Publication status	Published - Jun 2021

Keywords

Partial least squares structural equation modeling
Composite model
Reflective measurement model

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Inquiry_equations_partial_least_squares_structural_equation_modelingFinal published version, 1.14 MBLicence: Unspecified

Cite this

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title = "Which equations? An inquiry into the equations in partial least squares structural equation modeling",

abstract = "Over the last decade, partial least squares structural equation modeling (PLSSEM) has undergone various enhancements. However, the model equations underlying PLS-SEM have hardly been discussed in the PLS-SEM literature. Consequently, applied researchers are left unaware of the assumptions attached to theseequations and risk unintentionally misspecifying their models. This chapter addresses this issue and reveals the model equations including the implicit assumptions underlying PLS-SEM.",

keywords = "Partial least squares structural equation modeling, Composite model, Reflective measurement model",

author = "Florian Schuberth and Tobias M{\"u}ller and J{\"o}rg Henseler",

note = "Schuberth, F., M{\"u}ller, T., & Henseler, J. (2021). Which equations? An inquiry into the equations in partial least squares structural equation modeling. In I. Kem{\'e}ny, & Z. Kun (Eds.), New perspectives in serving customers, patients, and organizations: A Festschrift for Judit Simon (pp. 96-115). Corvinus University of Budapest. ",

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booktitle = "New perspectives in serving customers, patients, and organizations: A Festschrift for Judit Simon",

publisher = "Corvinus University of Budapest",

}

Which equations? An inquiry into the equations in partial least squares structural equation modeling. / Schuberth, Florian ; Müller, Tobias; Henseler, Jörg.
New perspectives in serving customers, patients, and organizations: A Festschrift for Judit Simon. ed. / Ildikó Kemény; Zsuzsanna Kun. Budapest: Corvinus University of Budapest, 2021. p. 96-115.

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

TY - CHAP

T1 - Which equations? An inquiry into the equations in partial least squares structural equation modeling

AU - Schuberth, Florian

AU - Müller, Tobias

AU - Henseler, Jörg

N1 - Schuberth, F., Müller, T., & Henseler, J. (2021). Which equations? An inquiry into the equations in partial least squares structural equation modeling. In I. Kemény, & Z. Kun (Eds.), New perspectives in serving customers, patients, and organizations: A Festschrift for Judit Simon (pp. 96-115). Corvinus University of Budapest.

PY - 2021/6

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N2 - Over the last decade, partial least squares structural equation modeling (PLSSEM) has undergone various enhancements. However, the model equations underlying PLS-SEM have hardly been discussed in the PLS-SEM literature. Consequently, applied researchers are left unaware of the assumptions attached to theseequations and risk unintentionally misspecifying their models. This chapter addresses this issue and reveals the model equations including the implicit assumptions underlying PLS-SEM.

AB - Over the last decade, partial least squares structural equation modeling (PLSSEM) has undergone various enhancements. However, the model equations underlying PLS-SEM have hardly been discussed in the PLS-SEM literature. Consequently, applied researchers are left unaware of the assumptions attached to theseequations and risk unintentionally misspecifying their models. This chapter addresses this issue and reveals the model equations including the implicit assumptions underlying PLS-SEM.

KW - Partial least squares structural equation modeling

KW - Composite model

KW - Reflective measurement model

UR - http://unipub.lib.uni-corvinus.hu/6625/

M3 - Chapter

SN - 978-963-503-868-8

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EP - 115

BT - New perspectives in serving customers, patients, and organizations: A Festschrift for Judit Simon

A2 - Kemény, Ildikó

A2 - Kun, Zsuzsanna

PB - Corvinus University of Budapest

CY - Budapest

ER -

Which equations? An inquiry into the equations in partial least squares structural equation modeling

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Keywords

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