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Evaluating estimation methods for ordinal data in structural equation modeling

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  • Pui-Wa Lei

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    File URL: http://hdl.handle.net/10.1007/s11135-007-9133-z
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    Bibliographic Info

    Article provided by Springer in its journal Quality and Quantity.

    Volume (Year): 43 (2009)
    Issue (Month): 3 (May)
    Pages: 495-507

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    Handle: RePEc:spr:qualqt:v:43:y:2009:i:3:p:495-507

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    Web page: http://www.springer.com/economics/journal/11135

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    Related research

    Keywords: Estimation; Ordinal data; Model misspecification; Small sample structural equation modeling;

    References

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    1. Ulf Olsson, 1979. "Maximum likelihood estimation of the polychoric correlation coefficient," Psychometrika, Springer, vol. 44(4), pages 443-460, December.
    2. Bengt Muthén, 1984. "A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators," Psychometrika, Springer, vol. 49(1), pages 115-132, March.
    3. Bengt Muthén & David Kaplan & Michael Hollis, 1987. "On structural equation modeling with data that are not missing completely at random," Psychometrika, Springer, vol. 52(3), pages 431-462, September.
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    Cited by:
    1. 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.
    2. Paul Ningaye & Yemedjeu Tiomela & Virginie Takoutio Feudjio, 2011. "Multi-Poverty in Cameroon: a Dimensional Scores Approach. Multi-pauvreté au Cameroun: Approche par les scores dimensionnels," Working Papers PMMA 2011-01, PEP-PMMA.
    3. Heungsun Hwang & Moon-Ho Ho & Jonathan Lee, 2010. "Generalized Structured Component Analysis with Latent Interactions," Psychometrika, Springer, vol. 75(2), pages 228-242, June.

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