Confirmatory Tetrad Analysis in PLS Path Modeling

By Siegfried P. Gudergan, Christian M. Ringle, Sven Wende, Alexander Will. 2008

654 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Artificial Intelligence, Food Science

View Paper: https://www.semanticscholar.org/paper/3dcc074f1c677dcc3833cb051fc557a8c10467c6

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Citations in the corpus

Using Partial Least Squares Structural Equation Modeling in Tourism Research (2016, methodology): “…extensions of the PLS-SEM method, ranging from evaluation techniques such as blindfolding (e.g., Chin 1998) and confirmatory tetrad analysis (e.g., Gudergan et al. 2008) to interaction effects and PLS-SEM multigroup analyses (e.g., Sarstedt, Henseler, and Ringle 2011) and response-based…”
Understanding, differentiating, and measuring opportunity recognition and opportunity exploitation (2017, positive): “The CTA returned insignificant results for every single tetrad, which suggests that both measurement models are reflective.”
PLS-SEM: Indeed a Silver Bullet (2011, methodology): “The confirmatory tetrad analysis in PLS path modeling (CTA-PLS), as proposed by Gudergan et al. (2008), allows the empirical testing of the measurement models’ mode ex post.”
Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012, methodology): “Reporting (bias corrected) bootstrap confidence intervals has only recently been proposed for PLS-SEM (Gudergan et al. 2008; Sarstedt, Henseler, and Ringle 2011); their use should be more strongly considered in future studies (i.e., no study in our review made use of this useful significance…”
Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling (2017, methodology): “…models (Dijkstra 2014; Dijkstra and Henseler 2015a, 2015b), the confirmatory tetrad analysis to test the kind of measurement model and construct (Gudergan et al. 2008), the heterotrait-monotrait ratio of correlations (HTMT) to assess discriminant validity (Henseler, Ringle and Sarstedt 2015),…”
A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015, methodology): “The Bonferroni approach does not rely on any distributional assumptions about the data, making it particularly suitable in the context of variance-based SEM techniques such as PLS (Gudergan et al. 2008).”
Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions (2021, background): “6 may be acceptable if additional indicators are available for a basis of comparison [41].”
Mobile banking: proposition of an integrated adoption intention framework (2010, methodology): “Moreover, Gudergan et al. (2008) describe PLS as being a sustainable method for estimating cause and effect relationships in complex business research.”