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Assessing Model Selection Uncertainty Using a Bootstrap Approach: An update

Model comparisons in the behavioral sciences often aim at selecting the model that best describes the structure in the population. Model selection is usually based on fit indices such as AIC or BIC, and inference is done based on the selected best-fitting model. This practice does not account for th...

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書誌詳細
出版年:Struct Equ Modeling
主要な著者: Lubke, Gitta H, Campbell, Ian, McArtor, Dan, Miller, Patrick, Luningham, Justin, van den Berg, Stéphanie M.
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5482523/
https://ncbi.nlm.nih.gov/pubmed/28652682
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2016.1252265
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