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The robustness of maximum likelihood and distribution-free estimators to non-normality in confirmatory factor analysis

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  • Jeri Benson
  • John Fleishman

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  • Jeri Benson & John Fleishman, 1994. "The robustness of maximum likelihood and distribution-free estimators to non-normality in confirmatory factor analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 28(2), pages 117-136, May.
    • Handle: RePEc:spr:qualqt:v:28:y:1994:i:2:p:117-136
    DOI: 10.1007/BF01102757
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    References listed on IDEAS

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    1. Allen Fleishman, 1978. "A method for simulating non-normal distributions," Psychometrika, Springer;The Psychometric Society, vol. 43(4), pages 521-532, December.
    2. James Anderson & David Gerbing, 1984. "The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 49(2), pages 155-173, June.
    3. Anne Boomsma, 1985. "Nonconvergence, improper solutions, and starting values in lisrel maximum likelihood estimation," Psychometrika, Springer;The Psychometric Society, vol. 50(2), pages 229-242, June.
    4. Fornell, Claes, 1983. "Issues in the Application of Covariance Structure Analysis: A Comment," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(4), pages 443-448, March.
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