文章基本信息

标题：Investigating the Feasibility of Using Mplus in the Estimation of Growth Mixture Models
本地全文：下载
作者：Li, Ming ; Harring, Jeffrey R ; Macready, George B 等
期刊名称：Journal of Modern Applied Statistical Methods
出版年度：2014
卷号：13
期号：1
页码：31
出版社：Wayne State University
摘要：Hipp and Bauer (2006) investigated the issues of singularities and local maximum solutions within growth mixture models (GMMs) and made recommendations regarding the use of multiple starting values. Building on their work, this simulation study investigates the feasibility of estimating GMMs within Mplus as measured by convergence to proper, but local solutions.
关键词：Local maximum solution; convergence; growth mixture modeling; EM algorithm