Generalized structured component analysis

By Heungsun Hwang, Yoshio Takane. 2004

321 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6625b9b0ddfc928255b7dacd79019780dd4c0617

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In Statistics and Probability

Citations in the corpus

The assessment of the performance of covariance-based structural equation modeling and partial least square path modeling (2017, methodology): “…techniques such as regression on summed scale (Tenenhaus, 2008), generalized structured component analysis based structural equation modeling (GSCA-SEM) (Henseler, 2012; Hwang & Takane, 2004), and partial least square path modeling (PLS-PM) (Wold, 1982; Henseler, Ringle & Sinkovics, 2009).”
Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling (2017, methodology): “Variance-based SEM techniques encompass extended canonical correlation analysis (Kettenring 1971), generalized structured component analysis (Hwang and Takane 2004), traditional partial least squares (PLS) path modeling (Lohm€oller 1989), consistent PLS path modeling (Dijkstra and Henseler 2015a,…”
Using PLS path modeling in new technology research: updated guidelines (2016, methodology): “One could even replace the PLS algorithm in Step 1 by alternative indicator weight generators, such as principal component analysis (Tenenhaus, 2008), generalized structured component analysis (Hwang and Takane, 2004; Henseler, 2012), regularized generalized canonical correlation analysis (Tenenhaus”
Regularized Generalized Structured Component Analysis (2009, methodology): “Similarly to Hwang and Takane (2004) , the covariance”
Testing measurement invariance of composites using partial least squares (2016, methodology): “Building on recent literature on the nature of composite models generally (Henseler, 2012; Hwang and Takane, 2004) and PLS specifically (Henseler et al.”
Generalized Structured Component Analysis with Latent Interactions (2010, methodology): “This is called the GSCA model ( Hwang & Takane, 2004; Hwang, DeSarbo, & Takane, 2007).”
Beyond a tandem analysis of SEM and PROCESS: Use of PLS-SEM for mediation analyses! (2020, background): “…such as partial least squares (PLS-SEM; Hair, Hult, Ringle, & Sarstedt, 2017; Lohmöller, 1989) or generalized structured component analysis (GSCA; Hwang & Takane, 2004) offer researchers much more flexibility in terms of data requirements and specifying even highly complex models with multiple…”
Why generalized structured component analysis is not universally preferable to structural equation modeling (2012, methodology): “Thus Hwang and Takane (2004) might more accurately be considered promulgators of Glang’s (1988) work than the inventors of GSCA.”
How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research (2020, methodology): “, generalized structured component analysis (GSCA [90],) and regression with sum scores.”
Bias in Factor Score Regression and a Simple Solution (2011, background): “This critique has become somewhat less cogent as the methodology is vibrant and continues to be developed in algebraic and algorithmic ways (e.g., Hwang & Takane, 2004; a dozen articles in the January 2005 issue of Computational Statistics & Data Analysis).”
Comparing generalised maximum entropy and partial least squares methods for structural equation models (2009, methodology): “Moreover, other investigation on the performance evaluation can be made by comparing the GME method with other estimation approaches in SEMs, such as generalised structured component analysis, developed by Hwang and Takane [28], and also, considering the parametric approach, taking into account the ”
A new criterion for assessing discriminant validity in variance-based structural equation modeling (2015, methodology): “Variance-based SEM methods—such as partial least squares path modeling (PLS; Lohmöller 1989; Wold 1982), generalized structured component analysis (GSCA; Henseler 2012; Hwang and Takane 2004), regularized generalized canonical correlation analysis (Tenenhaus and Tenenhaus 2011), and best fitting pro”
Component-based Structural Equation Modelling (2008, methodology): “More recently, Hwang and Takane (2004) have proposed a new full information method optimising a global criterion and named Generalised Structured Component Analysis (GSCA).”