Two new methods for estimating structural equation models: An illustration and a comparison with two established methods

By Irene R. R. Lu, Ernest Kwan, D. R. Thomas, Marzena Cedzynski. 2011

115 citations recorded by the source corpus.

Subfields: Food Science, Information Systems and Management, Organizational Behavior and Human Resource Management

View Paper: https://www.semanticscholar.org/paper/8d5659168a4a152262865335a056be9ced3512e5

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Citations in the corpus

ASSESSING REFLECTIVE MODELS IN MARKETING RESEARCH: A COMPARISON BETWEEN PLS AND PLSc ESTIMATES (2018, result): “…information maximum likelihood in CB-SEM but it can more or less produce identical results of loading, path coefficients and explanatory power, thereby offering an opportunity to fill the gap between factor models and composite models (Goodhue et al., 2006; Lu et al., 2011; Reinartz et al., 2009).”
On the adoption of partial least squares in psychological research: Caveat emptor (2015, methodology): “Using empirical confidence intervals with PLS estimation has not been 6 We refer to a particular PLS implementation because neither the study by Lu et al. (2011) nor the user manual of the PLS-Graph software (Chin, 2001) report what technique was used to calculate the confidence…”
A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015, background): “…modeling (SEM) is growing in popularity, which the plethora of recent developments and discussions (e.g., Henseler et al. 2014; Hwang et al. 2010; Lu et al. 2011; Rigdon 2014; Tenenhaus and Tenenhaus 2011), as well as its frequent application across different disciplines, demonstrate (e.g., Hair…”
Why generalized structured component analysis is not universally preferable to structural equation modeling (2012, background): “The asymptotic properties of the GSCA2004 algorithm are particularly interesting: for large values of N, the importance of the structural model for determining composite weights approaches 0, and the estimates become more and more similar to those that result from regressions between principal compo”
Editor's comments: a critical look at the use of PLS-SEM in MIS quarterly (2012, methodology): “Prior studies appearing in scholarly journals (e.g., Reinartz et al. 2009)—including those more critical of the PLS-SEM method (e.g., Lu et al. 2011)—indicate that PLS-SEM overcomes problematic model identification issues and that it is a powerful method to analyze complex models using smaller…”
Partial Least Squares: The Better Approach to Structural Equation Modeling? (2012, background): “CB-SEM or PLS-SEM, which is the better approach to SEM? To make a long story short: Much has been said about the distinction between CB-SEM and PLS-SEM, their advantages and disadvantages, and the reasons why one technique should (not) be preferred (e.g., Hair et al., 2011a; Henseler et al., 2009; J”
Common Beliefs and Reality About PLS (2014, background): “, Marcoulides & Saunders, 2006) and has been empirically examined in various simulation studies (e.g., Areskoug, 1982; Goodhue et al., 2012; Hulland et al., 2010; Lu et al., 2011; Reinartz et al., 2009; Vilares & Coelho, 2013).”