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Distinguishing between latent classes and continuous factors with categorical outcomes: Class invariance of parameters of factor mixture models

Factor mixture models (FMM’s) are latent variable models with categorical and continuous latent variables which can be used as a model-based approach to clustering. A previous paper covered the results of a simulation study showing that in the absence of model violations, it is usually possible to c...

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Autors principals: Lubke, Gitta, Neale, Michael
Format: Artigo
Idioma:Inglês
Publicat: 2008
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2629597/
https://ncbi.nlm.nih.gov/pubmed/20165736
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