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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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| 出版年: | Struct Equ Modeling |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 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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