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Structural model robustness checks in PLS-SEM

Author

Listed:
  • 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)

  • Ovidiu I Moisescu

    (Babes-Bolyai University, Romania)

  • Lacramioara Radomir

    (Babes-Bolyai University, Romania)

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.

Suggested Citation

  • Marko Sarstedt & Christian M Ringle & Jun-Hwa Cheah & Hiram Ting & Ovidiu I Moisescu & Lacramioara Radomir, 2020. "Structural model robustness checks in PLS-SEM," Tourism Economics, , vol. 26(4), pages 531-554, June.
  • Handle: RePEc:sae:toueco:v:26:y:2020:i:4:p:531-554
    DOI: 10.1177/1354816618823921
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    References listed on IDEAS

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