Detection of unobserved heterogeneity with growth mixture models
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| Format: | Artículo científico |
| Langue: | en |
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Universidad de Costa Rica
2009
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| _version_ | 1876431828744667136 |
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| author | Jost Reinecke |
| author_facet | Jost Reinecke |
| contents | Detection of unobserved heterogeneity with growth mixture models Jost Reinecke Luca Mariotti Física, Astronomía y Matemáticas Panel data heterogeneity Poisson distribution growth mixture models Latent growth curve models as structural equation models are extensively discussed in various research fields (Duncan et al., 2006). Recent methodological and statistical extension are focused on the consideration of unobserved heterogeneity in empirical data. Muth ́en extended the classical structural equation approach by mixture com- ponents, i. e. categorical latent classes (Muth ́en 2002, 2004, 2007). The paper will discuss applications of growth mixture models with data from one of the first panel studies in Germany which explore deviant and delinquent behavior of adolescents (Reinecke, 2006a, 2006b). Observed as well as unobserved heterogeneity will be considered with growth mixture models using the program M plus (Muth ́en & Muth ́en, 2006). Special attention is given to the distribution of the substantive dependent variables as a count measures (Poisson distribution, zero-inflated Poisson distribution, cf. Nagin, 1999). Different model specifications with respect to substan- tive questions will also be emphasized. 2009 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45326935002 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.1 Vol.16 |
| format | Artículo científico |
| id | redalyc_45326935002 |
| institution | Redalyc |
| language | en |
| publishDate | 2009 |
| publisher | Universidad de Costa Rica |
| spellingShingle | Detection of unobserved heterogeneity with growth mixture models Jost Reinecke Física, Astronomía y Matemáticas Panel data heterogeneity Poisson distribution growth mixture models Detection of unobserved heterogeneity with growth mixture models Jost Reinecke Luca Mariotti Física, Astronomía y Matemáticas Panel data heterogeneity Poisson distribution growth mixture models Latent growth curve models as structural equation models are extensively discussed in various research fields (Duncan et al., 2006). Recent methodological and statistical extension are focused on the consideration of unobserved heterogeneity in empirical data. Muth ́en extended the classical structural equation approach by mixture com- ponents, i. e. categorical latent classes (Muth ́en 2002, 2004, 2007). The paper will discuss applications of growth mixture models with data from one of the first panel studies in Germany which explore deviant and delinquent behavior of adolescents (Reinecke, 2006a, 2006b). Observed as well as unobserved heterogeneity will be considered with growth mixture models using the program M plus (Muth ́en & Muth ́en, 2006). Special attention is given to the distribution of the substantive dependent variables as a count measures (Poisson distribution, zero-inflated Poisson distribution, cf. Nagin, 1999). Different model specifications with respect to substan- tive questions will also be emphasized. 2009 artículo científico 1409-2433 https://www.redalyc.org/articulo.oa?id=45326935002 en http://www.redalyc.org/revista.oa?id=453 Revista de Matemática: Teoría y Aplicaciones application/pdf Universidad de Costa Rica Revista de Matemática: Teoría y Aplicaciones (Costa Rica) Num.1 Vol.16 |
| title | Detection of unobserved heterogeneity with growth mixture models |
| topic | Física, Astronomía y Matemáticas Panel data heterogeneity Poisson distribution growth mixture models |
| url | https://www.redalyc.org/articulo.oa?id=45326935002 |