On the relationships among latent variables and residuals in PLS path modeling: The formative-reflective scheme
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- Giorgio Vittadini & Simona Caterina Minotti & Marco Fattore & Pietro Giorgio Lovaglio, 2005. "On the Relationships among Latent Variables and Residuals in PLS Path Modeling: the Formative-Reflective Scheme," Working Papers 20061101, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica, revised Oct 2006.
References listed on IDEAS
- Arnold Wollenberg, 1977. "Redundancy analysis an alternative for canonical correlation analysis," Psychometrika, Springer;The Psychometric Society, vol. 42(2), pages 207-219, June.
- Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
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- Pasquale Dolce & Vincenzo Esposito Vinzi & Natale Carlo Lauro, 2018. "Non-symmetrical composite-based path modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(3), pages 759-784, September.
- Fattore, Marco & Pelagatti, Matteo & Vittadini, Giorgio, 2018.
"A least squares approach to latent variables extraction in formative–reflective models,"
Computational Statistics & Data Analysis,
Elsevier, vol. 120(C), pages 84-97.
- Marco Fattore & Matteo Pelagatti & Giorgio Vittadini, 2012. "A least squares approach to latent variables extraction in formative-reflective models," Working Papers 20120302, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica.
- Ned Kock, 2015. "PLS-based SEM Algorithms: The Good Neighbor Assumption, Collinearity, and Nonlinearity," Information Management and Business Review, AMH International, vol. 7(2), pages 113-130.
More about this item
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
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