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Maximum likelihood estimation of latent interaction effects with the LMS method

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Author Info

  • Andreas Klein

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  • Helfried Moosbrugger
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/BF02296338
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 65 (2000)
    Issue (Month): 4 (December)
    Pages: 457-474

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    Handle: RePEc:spr:psycho:v:65:y:2000:i:4:p:457-474

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    Web page: http://www.springerlink.com/link.asp?id=112911

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    Related research

    Keywords: latent interaction effects; mixture distribution; ML estimation; structural equation modeling (SEM); EM algorithm;

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    Cited by:
    1. Mònica González & Ferran Casas & Germà Coenders, 2007. "A Complexity Approach to Psychological Well-Being in Adolescence: Major Strengths and Methodological Issues," Social Indicators Research, Springer, vol. 80(2), pages 267-295, January.
    2. Jule Specht & Boris Egloff & Stefan C. Schmukle, 2012. "Everything under Control?: The Effects of Age, Gender, and Education on Trajectories of Perceived Control in a Nationally Representative German Sample," SOEPpapers on Multidisciplinary Panel Data Research 445, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. 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.
    4. Ab Mooijaart & Albert Satorra, 2012. "Moment Testing for Interaction Terms in Structural Equation Modeling," Psychometrika, Springer, vol. 77(1), pages 65-84, January.

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