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 proceedingConference contributionAcademicpeer-review

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 languageEnglish
Title of host publicationProceedings of the 2nd International Symposium on Partial Least Squares Path Modeling
Subtitle of host publicationThe Conference for PLS Users
EditorsJörg Henseler, Christian Ringle, José Roldán, Gabriel Cepeda
Place of PublicationEnschede
PublisherUniversity of Twente
Number of pages12
ISBN (Print)9789036540568
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event2015 PLS User Conference: 2nd International Symposium on Partial Least Squares Path Modeling - The Conference for PLS Users - Seville, Spain
Duration: 16 Jun 201519 Jun 2015

Conference

Conference2015 PLS User Conference
Country/TerritorySpain
CitySeville
Period16/06/1519/06/15

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