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First Versus Second Order Latent Growth Curve Models: Some Insights From Latent State-Trait Theory

First order latent growth curve models (FGMs) estimate change based on a single observed variable and are widely used in longitudinal research. Despite significant advantages, second order latent growth curve models (SGMs), which use multiple indicators, are rarely used in practice, and not all aspe...

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書誌詳細
主要な著者: Geiser, Christian, Keller, Brian, Lockhart, Ginger
フォーマット: Artigo
言語:Inglês
出版事項: 2013
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3827780/
https://ncbi.nlm.nih.gov/pubmed/24244087
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2013.797832
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