Investigating the Feasibility of Using Mplus in the Estimation of Growth Mixture Models

被引：0

作者：

Li, Ming ^{[1
]}

Harring, Jeffrey R. ^{[1
]}

Macready, George B. ^{[1
]}

机构：

[1] Univ Maryland, Dept Human Dev & Quantitat Methodol, Measurement Stat & Evaluat, College Pk, MD USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2014年 / 13卷 / 01期

关键词：

Local maximum solution; convergence; growth mixture modeling; EM algorithm;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

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.

引用

页码：484 / 513

页数：30

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