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Growth Mixture Modeling: A Method for Identifying Differences in Longitudinal Change Among Unobserved Groups
Growth mixture modeling (GMM) is a method for identifying multiple unobserved sub-populations, describing longitudinal change within each unobserved sub-population, and examining differences in change among unobserved sub-populations. We provide a practical primer that may be useful for researchers...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2009
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3718544/ https://ncbi.nlm.nih.gov/pubmed/23885133 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0165025409343765 |
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