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Fitting Residual Error Structures for Growth Models in SAS PROC MCMC
In behavioral sciences broadly, estimating growth models with Bayesian methods is becoming increasingly common, especially to combat small samples common with longitudinal data. Although Mplus is becoming an increasingly common program for applied research employing Bayesian methods, the limited sel...
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| Publicado no: | Educ Psychol Meas |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SAGE Publications
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5991787/ https://ncbi.nlm.nih.gov/pubmed/30034021 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0013164416652441 |
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