On the effect of measurement model misspecification in PLS Path Modeling: the reflective case

Simona C. Minotti; Giuseppe Lamberti; Tomàs Aluja-Banet; Antonio Ciampi

doi:10.3990/2.347

On the effect of measurement model misspecification in PLS Path Modeling: the reflective case

Simona C. Minotti, Giuseppe Lamberti, Tomàs Aluja-Banet, Antonio Ciampi

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

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Abstract

The specification of a measurement model as reflective or formative is the object of a lively debate. Part of the existing literature focuses on measurement model misspecification. This means that a true model is assumed and the impact on the path coefficients of using a wrong model is investigated. The majority of these studies is restricted to Structural Equation Modeling (SEM). Regarding PLS-Path Modeling (PLS-PM), a few authors have carried out simulation studies to investigate the robustness of the estimates, but their focus is the comparison with SEM. The present paper discusses the misspecification problem in the PLS-PM context from a novel perspective. First, a real application on Alumni Satisfaction will be used to verify whether different assumptions for the measurements models influence the results. Second, the results of a Monte- Carlo simulation study, in the reflective case, will help to bring some clarity on a complex problem that has not been sufficiently studied yet.

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	12
ISBN (Print)	9789036540568
DOIs	https://doi.org/10.3990/2.347
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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10.3990/2.347

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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.
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Minotti, S. C., Lamberti, G., Aluja-Banet, T., & Ciampi, A. (2015). On the effect of measurement model misspecification in PLS Path Modeling: the reflective case. 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. https://doi.org/10.3990/2.347

Minotti, Simona C. ; Lamberti, Giuseppe ; Aluja-Banet, Tomàs et al. / On the effect of measurement model misspecification in PLS Path Modeling : the reflective case. Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users. editor / Jörg Henseler ; Christian Ringle ; José Roldán ; Gabriel Cepeda. Enschede : University of Twente, 2015.

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title = "On the effect of measurement model misspecification in PLS Path Modeling: the reflective case",

abstract = "The specification of a measurement model as reflective or formative is the object of a lively debate. Part of the existing literature focuses on measurement model misspecification. This means that a true model is assumed and the impact on the path coefficients of using a wrong model is investigated. The majority of these studies is restricted to Structural Equation Modeling (SEM). Regarding PLS-Path Modeling (PLS-PM), a few authors have carried out simulation studies to investigate the robustness of the estimates, but their focus is the comparison with SEM. The present paper discusses the misspecification problem in the PLS-PM context from a novel perspective. First, a real application on Alumni Satisfaction will be used to verify whether different assumptions for the measurements models influence the results. Second, the results of a Monte- Carlo simulation study, in the reflective case, will help to bring some clarity on a complex problem that has not been sufficiently studied yet.",

author = "Minotti, {Simona C.} and Giuseppe Lamberti and Tom{\`a}s Aluja-Banet and Antonio Ciampi",

year = "2015",

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publisher = "University of Twente",

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Minotti, SC, Lamberti, G, Aluja-Banet, T & Ciampi, A 2015, On the effect of measurement model misspecification in PLS Path Modeling: the reflective case. 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/10.3990/2.347

On the effect of measurement model misspecification in PLS Path Modeling: the reflective case. / Minotti, Simona C.; Lamberti, Giuseppe; Aluja-Banet, Tomàs et al.
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

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AU - Lamberti, Giuseppe

AU - Aluja-Banet, Tomàs

AU - Ciampi, Antonio

PY - 2015

Y1 - 2015

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AB - The specification of a measurement model as reflective or formative is the object of a lively debate. Part of the existing literature focuses on measurement model misspecification. This means that a true model is assumed and the impact on the path coefficients of using a wrong model is investigated. The majority of these studies is restricted to Structural Equation Modeling (SEM). Regarding PLS-Path Modeling (PLS-PM), a few authors have carried out simulation studies to investigate the robustness of the estimates, but their focus is the comparison with SEM. The present paper discusses the misspecification problem in the PLS-PM context from a novel perspective. First, a real application on Alumni Satisfaction will be used to verify whether different assumptions for the measurements models influence the results. Second, the results of a Monte- Carlo simulation study, in the reflective case, will help to bring some clarity on a complex problem that has not been sufficiently studied yet.

U2 - 10.3990/2.347

DO - 10.3990/2.347

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

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A2 - Ringle, Christian

A2 - Roldán, José

A2 - Cepeda, Gabriel

PB - University of Twente

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ER -

Minotti SC, Lamberti G, Aluja-Banet T, Ciampi A. On the effect of measurement model misspecification in PLS Path Modeling: the reflective case. In Henseler J, Ringle C, Roldán J, Cepeda G, editors, Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling: The Conference for PLS Users. Enschede: University of Twente. 2015 doi: 10.3990/2.347

On the effect of measurement model misspecification in PLS Path Modeling: the reflective case

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

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