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Analyzing multigroup data with structural equation models

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  • Görz, Nicole
  • Hildebrandt, Lutz
  • Annacker, Dirk

Abstract

In empirical applications of structural equation modeling researchers often assume that the sample under investigation is homogenous unless observed characteristics allow for a division of the sample into mutual exclusive homogenous subgroups. If such information is not available, unobserved heterogeneity can be taken into account by a finite mixture approach (Arminger et al. (1998); Jedidi et al. (1997)). The simulation study presented in this paper reveals that this approach clearly out performs a sequential procedure combining cluster and multigroup analysis.

Suggested Citation

  • Görz, Nicole & Hildebrandt, Lutz & Annacker, Dirk, 2000. "Analyzing multigroup data with structural equation models," SFB 373 Discussion Papers 2000,11, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  • Handle: RePEc:zbw:sfb373:200011
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    Cited by:

    1. Temme, Dirk & Williams, John R. & Hildebrandt, Lutz, 2002. "Structural equation models for finite mixtures: Simulation results and empirical applications," SFB 373 Discussion Papers 2002,33, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Luri Minami, Adriana & Ramos, Carla & Bruscato Bortoluzzo, Adriana, 2021. "Sharing economy versus collaborative consumption: What drives consumers in the new forms of exchange?," Journal of Business Research, Elsevier, vol. 128(C), pages 124-137.
    3. Williams, John & Temme, Dirk & Hildebrandt, Lutz, 2002. "A Monte Carlo study of structural equation models for finite mixtures," SFB 373 Discussion Papers 2002,48, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

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