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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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| Veröffentlicht in: | Educ Psychol Meas |
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| 1. Verfasser: | |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
SAGE Publications
2016
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| Schlagworte: | |
| Online Zugang: | 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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