政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/113035

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | 全文笔数/总笔数 : 112721/143689 (78%)
造访人次 : 49529804 在线人数 : 890

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 140.119/113035

请使用永久网址来引用或连结此文件: https://nccur.lib.nccu.edu.tw/handle/140.119/113035

题名:	The Impact of Ignoring the Level of Nesting Structure in Nonparametric Multilevel Latent Class Models
作者:	游琇婷 Park, Jungkyu Yu, Hsiu Ting
贡献者:	心理系
日期:	2016-10
上传时间:	2017-09-15 15:19:20 (UTC+8)
摘要:	The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In the present study, a simulation study was conducted to investigate the impact of ignoring the higher-level nesting structure. Three criteria—the model selection accuracy, the classification quality, and the parameter estimation accuracy—were used to evaluate the impact of ignoring the nested data structure. The results of the simulation study showed that ignoring higher-level nesting structure in an MLCM resulted in the poor performance of the Bayesian information criterion to recover the true latent structure, the inaccurate classification of individuals into latent classes, and the inflation of standard errors for parameter estimates, while the parameter estimates were not biased. This article concludes with remarks on ignoring the nested structure in nonparametric MLCMs, as well as recommendations for applied researchers when LCM is used for data collected from a multilevel nested structure.
關聯:	Educational and Psychological Measurement, 76(5), 824-847
数据类型:	article
DOI 連結:	http://dx.doi.org/10.1177/0013164415618240
DOI:	10.1177/0013164415618240
显示于类别:	[心理學系] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
824.pdf		346Kb	Adobe PDF2	421	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.....