Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results

By Marko Sarstedt, Jörg Henseler, Christian M. Ringle. 2011

1,168 citations recorded by the source corpus.

Subfields: Food Science, Organizational Behavior and Human Resource Management, Tourism, Leisure and Hospitality Management

View Paper: https://www.semanticscholar.org/paper/a2fdf038ec943687bbb47629d29b097d95042876

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Citations in the corpus

Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats (2013, methodology): “In mixture models, these heuristics include model-selection criteria that are well known from the model-selection literature (e.g., AIC, BIC, and CAIC) and can also be used to approximate the best fitting number of segments (Andrews and Currim 2003a; Sarstedt et al. 2011a).”
Partial least squares path modeling: Time for some serious second thoughts (2016, background): “…are problematic because the 7 The fact that parametric significance tests may not be appropriate with PLS has been discussed at least since the early 2000’s in the context of multi-group analysis (cf., Sarstedt et al., 2011, p. 199), but this concern is not discussed in the broader PLS literature.”
Partial Least Squares: The Better Approach to Structural Equation Modeling? (2012, positive): “Some examples of these extensions are advances in multigroup analysis techniques (Sarstedt et al., 2011), PLS-SEM-specific segmentation approaches (Becker et al., forthcoming; Rigdon et al., 2010; Ringle et al., forthcoming; Sarstedt and Ringle, 2010), and methods to empirically test the mode…”
Customer engagement behavior in individualistic and collectivistic markets (2017, methodology): “After establishing measurement invariance across the four countries using the MICOM procedure (Henseler et al., 2016), the relevant path coefficients were compared using multigroup analysis through the Welch-Satterthwaite approach (Sarstedt et al., 2011).”
Using Partial Least Squares Structural Equation Modeling in Tourism Research (2016, methodology): “…(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 segmentation approaches, such as finite mixture-PLS (e.g., Rigdon, Ringle, and Sarstedt 2010).”
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…”
ASSESSING REFLECTIVE MODELS IN MARKETING RESEARCH: A COMPARISON BETWEEN PLS AND PLSc ESTIMATES (2018, methodology): “…Reflective-Composite Type or Reflective-Reflective Type (Ringle et al., 2012), mediation analysis (Nitzl et al., 2016), moderation analysis (Henseler & Chin 2010), multi-group Analysis (Henseler et al., 2016b; Sarstedt et al. 2011) and analysis with nonlinear effects (Djikstra & Henseler 2011).”
Personality Traits, Social Self-Efficacy, Social Support, and Social Entrepreneurial Intention: The Moderating Role of Gender (2021, methodology): “The multi-group analysis was undertaken to confirm the moderating role of gender using the partial least squares multi-group analysis (PLS-MGA) (Sarstedt, Henseler, and Ringle 2011).”