Consistent Partial Least Squares Path Modeling

By Theo K. Dijkstra, Jörg Henseler. MIS Q., 2015

2,413 citations recorded by the source corpus.

This paper resumes the discussion in information systems research on the use of partial least squares (PLS) path modeling and shows that the inconsistency of PLS path coefficient estimates in the case of reflective measurement can have adverse consequences for hypothesis testing. To remedy this, the study introduces a vital extension of PLS: consistent PLS (PLSc). PLSc provides a correction for estimates when PLS is applied to reflective constructs: The path coefficients, inter-construct correlations, and indicator loadings become consistent. The outcome of a Monte Carlo simulation reveals that the bias of PLSc parameter estimates is comparable to that of covariance-based structural equation modeling. Moreover, the outcome shows that PLSc has advantages when using non-normally distributed data. We discuss the implications for IS research and provide guidelines for choosing among structural equation modeling techniques.

Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering, Information Systems

View Paper: https://www.semanticscholar.org/paper/2b5c0f04688d06de7d7eaa7c8d236edb1f7afc49

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Citations in the corpus

Minimum sample size estimation in PLS‐SEM: The inverse square root and gamma‐exponential methods (2018, methodology): “More research is needed to ascertain whether the above properties are retained in a recent development related to PLS-SEM: the consistent PLS technique (Dijkstra & Henseler, 2015).”
Estimation issues with PLS and CBSEM: Where the bias lies! ☆ (2016, methodology): “Recent efforts to align reflective measurement and composite-based modeling (Dijkstra & Henseler, 2015; Henseler, Hubona et al., 2016)—while commendable from a methodological viewpoint—have instead contributed to the confusion, leaving researchers with little guidance regarding when to apply each…”
Applying the Theory of Planned Behavior to Examine Pro-Environmental Behavior: The Moderating Effect of COVID-19 Beliefs (2020, result): “This evidence is also confirmed by the Dillon–Goldstein rho and rhoA [48] whose values for all of the constructs were higher than 0.”
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research (2020, methodology): “PLS-PM’s Mode A, Dijkstra–Henseler’s ρA should be used [41].”
Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research (2020, neutral): “In addition, while there are calls for the use of consistent PLS (PLSc) (Dijkstra and Henseler, 2015), there are no known studies that have looked into the combination of this algorithm with MGA and the MICOM procedure.”
Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (2018, methodology): “Recent PLS-SEM developments, such as the consistent PLS-SEM approach (Dijkstra and Henseler 2015), which allows for mimicking factor-based SEM results, and the introduction of model fit criteria into PLS-SEM (e.g., Henseler et al. 2014), may help researchers achieve specific explanatory research…”
An extensive comparison of CB-SEM and PLS-SEM for reliability and validity (2020, methodology): “However, previous studies have shown that the simulation approach is not common when SEM is applied to the assessment of reliability and validity such as those analyzed by Henseler et al. (2014) and Dijkstra & Henseler (2015).”
An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, methodology): “Alternatively, researchers may use consistent PLS (Dijkstra, 2014; Dijkstra and Henseler, 2015b), which “corrects” PLS-SEM-based parameter estimates, Electronic copy available at: https://ssrn.com/abstract=3128204 Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018).”
The Impact of Perceived Brand Globalness on Consumers’ Purchase Intention and the Moderating Role of Consumer Ethnocentrism: An Evidence from Vietnam (2020, background): “Also, Dijkstra and Henseler (2015) stated that the rho_A coefficient is the important reliability measure for the partial least squares.”
Attracting tourists to travel companies’ websites: the structural relationship between website brand, personal value, shopping experience, perceived risk and purchase intention (2018, methodology): “Recent studies (Dijkstra & Henseler, 2015a, 2015b; Henseler, Hubona, & Ray, 2016) propose goodness-of-fit measures that make PLS suitable for confirmatory research by the tool of ADANCO 2.0 software.”
Knowledge Hiding Behaviors and Team Creativity: The Contingent Role of Perceived Mastery Motivational Climate (2019, background): “Table 1 shows that rho_A coefficients of all constructs are above the threshold level of 0.7 (Dijkstra & Henseler, 2015).”