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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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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2008
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2629597/ https://ncbi.nlm.nih.gov/pubmed/20165736 |
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