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Robustness issues in structural equation modeling: a review of recent developments


  • Albert Satorra


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  • Albert Satorra, 1990. "Robustness issues in structural equation modeling: a review of recent developments," Quality & Quantity: International Journal of Methodology, Springer, vol. 24(4), pages 367-386, November.
  • Handle: RePEc:spr:qualqt:v:24:y:1990:i:4:p:367-386
    DOI: 10.1007/BF00152011

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    References listed on IDEAS

    1. Magnus, Jan R. & Neudecker, H., 1986. "Symmetry, 0-1 Matrices and Jacobians: A Review," Econometric Theory, Cambridge University Press, vol. 2(02), pages 157-190, August.
    2. Anderson, T. W., 1989. "Linear latent variable models and covariance structures," Journal of Econometrics, Elsevier, vol. 41(1), pages 91-119, May.
    3. Satorra, Albert & Bentler, Peter M., 1990. "Model conditions for asymptotic robustness in the analysis of linear relations," Computational Statistics & Data Analysis, Elsevier, vol. 10(3), pages 235-249, December.
    4. Albert Satorra, 1989. "Alternative test criteria in covariance structure analysis: A unified approach," Psychometrika, Springer;The Psychometric Society, vol. 54(1), pages 131-151, March.
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    Cited by:

    1. Terje Skjerpen, 2008. "Engel elasticities, pseudo-maximum likelihood estimation and bootstrapped standard errors. A case study," Discussion Papers 532, Statistics Norway, Research Department.
    2. Manuel Sánchez Pérez, 1996. "A strategy for the assessment of overall model fit in structural equation modeling for business economics," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 6, pages 183-210, Diciembre.
    3. Stanislav Kolenikov, 2009. "Confirmatory factor analysis using confa," Stata Journal, StataCorp LP, vol. 9(3), pages 329-373, September.
    4. Albert Satorra, 1991. "Asymptotic robust inferences in the analysis of mean and covariance structures," Economics Working Papers 3, Department of Economics and Business, Universitat Pompeu Fabra.
    5. Ringle, Christian M. & Götz, Oliver & Wetzels, Martin & Wilson, Bradley, 2009. "On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-Based and Partial Least Squares Model Estimation Methodologies," MPRA Paper 15390, University Library of Munich, Germany.
    6. Mysíková Martina, 2016. "Educational mismatch in the Czech Labour Market," Review of Economic Perspectives, De Gruyter Open, vol. 16(2), pages 103-120, June.
    7. Gülhayat Şimşek & Fatma Noyan, 2012. "Structural equation modeling with ordinal variables: a large sample case study," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(5), pages 1571-1581, August.
    8. Kenneth Bollen & Stanislav Kolenikov & Shawn Bauldry, 2014. "Model-Implied Instrumental Variable—Generalized Method of Moments (MIIV-GMM) Estimators for Latent Variable Models," Psychometrika, Springer;The Psychometric Society, vol. 79(1), pages 20-50, January.
    9. Pasquale Dolce & Natale Lauro, 2015. "Comparing maximum likelihood and PLS estimates for structural equation modeling with formative blocks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 891-902, May.
    10. Germà Coenders & Joan Batista-Foguet & Willem Saris, 2008. "Simple, Efficient and Distribution-free Approach to Interaction Effects in Complex Structural Equation Models," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(3), pages 369-396, June.
    11. repec:spr:jhappi:v:18:y:2017:i:3:d:10.1007_s10902-016-9744-y is not listed on IDEAS

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