Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats

By Jan-Michael Becker, Arun Rai, Christian M. Ringle, Franziska Völckner. MIS Q., 2013

436 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems and Management, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/97fa7d936d47fbf8a6567560d4c42d615f638544

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Citations in the corpus

Testing measurement invariance of composites using partial least squares (2016, background): “Two newer approaches, PLS-GAS (Ringle et al., 2013, 2014) and PLS-POS (Becker et al., 2013), offer superior characteristics compared to previously developed methods.”
Structural model robustness checks in PLS-SEM (2020, methodology): “Similarly, researchers have proposed approaches for identifying and treating unobserved heterogeneity and endogeneity that—if not taken into consideration—can pose serious threats to the results’ validity (Becker et al., 2013; Hult et al., 2018).”
An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, background): “In particular, hospitality researchers should test for unobserved heterogeneity, which, if present can seriously distort the results (Becker et al., 2013)—see Sarstedt et al.”
Interrelationships between influential factors and behavioral intention with regard to autonomous vehicles (2018, background): “With regard to segment sizes, the segments that are ‘toosmall’ mean that the researcher asked for too many segments in the solution (Becker et al., 2013).”
On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012) (2014, background): “, 2011; Sarstedt and Ringle 2010), the prediction-oriented segmentation of PLS-SEM results (PLS-POS; Becker et al., 2013), or genetic algorithm segmentation (PLS-GAS; Ringle et al.”
PLS-SEM: Looking Back and Moving Forward (2014, methodology): “…et al., 2012; Kuppelwieser and Sarstedt, 2014; Ringle et al., 2012; Wetzels et al., 2009), PLS-SEM-specific data segmentation techniques (e.g., Becker et al., 2013; Kuppelwieser and Sarstedt, 2014; Rigdon et al., 2010; Rigdon et al., 2011; Sarstedt, 2008; Sarstedt et al., 2011a; Sarstedt and…”
Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations (2020, methodology): “…used in the computation of the correlation weights (Mode A) and the regression weights (Mode B), depending on the measurement model specifications (Becker et al., 2013; Cheah et al., 2018; Sarstedt et al., 2016).3 Similarly, the estimation of structural model relationships produces the weighted…”
Using PLS path modeling in new technology research: updated guidelines (2016, methodology): “Prominent examples include finite mixture PLS (Ringle et al., 2010a, c), PLS prediction-oriented segmentation (Becker et al., 2013b), and PLS genetic algorithm segmentation (Ringle et al., 2010b, 2014).”