Structural model robustness checks in PLS-SEM

Marko Sarstedt, Christian M Ringle, Jun-Hwa Cheah, Hiram Ting, Ovidiu Moisescu () and Lacramioara Radomir
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Marko Sarstedt: Otto-von-Guericke University Magdeburg, Germany; Monash University Malaysia, Malaysia
Christian M Ringle: Hamburg University of Technology (TUHH), Germany; University of Waikato, New Zealand
Jun-Hwa Cheah: Universiti Putra Malaysia, Malaysia
Hiram Ting: UCSI University, Malaysia
Lacramioara Radomir: Babes-Bolyai University, Romania

Tourism Economics, 2020, vol. 26, issue 4, 531-554

Abstract: Partial least squares structural equation modeling (PLS-SEM) has become a standard tool for analyzing complex inter-relationships between observed and latent variables in tourism and numerous other fields of scientific inquiry. Along with the recent surge in the method’s use, research has contributed several complementary methods for assessing the robustness of PLS-SEM results. Although these improvements are documented in extant literature, research on tourism has been slow to adopt the relevant complementary methods. This article illustrates the use of recent advances in PLS-SEM, designed to ensure structural model results’ robustness in terms of nonlinear effects, endogeneity, and unobserved heterogeneity in a PLS-SEM framework. Our overarching aim is to encourage the routine use of these complementary methods to increase methodological rigor in the field.

Keywords: endogeneity; FIMIX-PLS; nonlinear; partial least squares; PLS-SEM; robustness checks; structural equation modeling (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (87)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:toueco:v:26:y:2020:i:4:p:531-554

DOI: 10.1177/1354816618823921

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