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Component-based structural equation modelling

Author

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  • TENENHAUS, Michel

Abstract

In this research, the authors explore the use of ULS-SEM (Structural-Equation-Modelling), PLS (Partial Least Squares), GSCA (Generalized Structured Component Analysis), path analysis on block principal components and path analysis on block scales on customer satisfaction data.

Suggested Citation

  • TENENHAUS, Michel, 2008. "Component-based structural equation modelling," HEC Research Papers Series 887, HEC Paris.
    • Handle: RePEc:ebg:heccah:0887
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    File URL: http://www.hec.fr/var/fre/storage/original/application/888adcb77e8c8378551e689551ecc0a1.pdf
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    References listed on IDEAS

    as
    1. Michel Tenenhaus, 2008. "Structural Equation Modelling for small samples," Working Papers hal-00580148, HAL.
    2. Heungsun Hwang & Yoshio Takane, 2004. "Generalized structured component analysis," Psychometrika, Springer;The Psychometric Society, vol. 69(1), pages 81-99, March.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Component-based SEM; covariance-based SEM; GSCA; path analysis; PLS path modelling; Structural Equation Modelling; Unweighted Least Squares;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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