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Time-Varying Effect Sizes for Quadratic Growth Models in Multilevel and Latent Growth Modeling
Multilevel and latent growth modeling analysis (GMA) is often used to compare independent groups in linear random slopes of outcomes over time, particularly in randomized controlled trials. The unstandardized coefficient for the effect of group on the slope from a linear GMA can be transformed into...
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| Publicado no: | Struct Equ Modeling |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6774388/ https://ncbi.nlm.nih.gov/pubmed/31579365 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2018.1547110 |
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