政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/136777

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文笔数/总笔数 : 113303/144284 (79%)
造访人次 : 50837664 在线人数 : 739

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

政大機構典藏 > 理學院 > 心理學系 > 期刊論文 > Item 140.119/136777

请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/136777

题名:	Postselection Inference in Structural Equation Modeling
作者:	黃柏僩 Huang, Po-Hsien
贡献者:	心理系
日期:	2019-07
上传时间:	2021-08-10 16:45:18 (UTC+8)
摘要:	Most statistical inference methods were established under the assumption that the fitted model is known in advance. In practice, however, researchers often obtain their final model by some data-driven selection process. The selection process makes the finally fitted model random, and it also influences the sampling distribution of the estimator. Therefore, implementing naive inference methods may result in wrong conclusions—which is probably a prime source of the reproducibility crisis in psychological science. The present study accommodates three valid state-of-the-art postselection inference methods for structural equation modeling (SEM) from the statistical literature: data splitting (DS), postselection inference (PoSI), and the polyhedral (PH) method. A simulation is conducted to compare the three methods with the commonly used naive procedure under selection events made by L1-penalized SEM. The results show that the naive method often yields incorrect inference, and that the valid methods control the coverage rate in most cases with their own pros and cons. Real world data examples show the practical use of the valid inference methods.
關聯:	Multivariate Behavioral Research, Vol.55, No.3, pp.344-360
数据类型:	article
DOI 連結:	https://doi.org/10.1080/00273171.2019.1634996
DOI:	10.1080/00273171.2019.1634996
显示于类别:	[心理學系] 期刊論文

文件中的档案:

档案	大小	格式	浏览次数
9.pdf	3432Kb	Adobe PDF2	224	检视/开启

在政大典藏中所有的数据项都受到原著作权保护.

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

数据加载中.....