Unrestricted Mixture Models for Class Identification in Growth Mixture Modeling

Min Liu; Gregory R. Hancock

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Unrestricted Mixture Models for Class Identification in Growth Mixture Modeling

机译：用于生长混合物建模中类别识别的无限制混合物模型

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Growth mixture modeling has gained much attention in applied and methodological social science research recently, but the selection of the number of latent classes for such models remains a challenging issue, especially when the assumption of proper model specification is violated. The current simulation study compared the performance of a linear growth mixture model (GMM) for determining the correct number of latent classes against a completely unrestricted multivariate normal mixture model. Results revealed that model convergence is a serious problem that has been underestimated by previous GMM studies. Based on two ways of dealing with model nonconvergence, the performance of the two types of mixture models and a number of model fit indices in class identification are examined and discussed. This article provides suggestions to practitioners who want to use GMM for their research.

机译：增长混合模型最近在应用和方法论社会科学研究中引起了广泛关注，但是为此类模型选择潜在类别的数量仍然是一个具有挑战性的问题，尤其是在违反适当模型规范的假设时。当前的模拟研究比较了线性增长混合模型（GMM）与完全不受限制的多元正态混合模型确定正确潜在类别数的性能。结果表明，模型收敛是一个严重的问题，以前的GMM研究已经低估了这一问题。基于两种处理模型不收敛的方法，研究并讨论了两种类型的混合模型的性能以及许多模型拟合指标在类识别中的作用。本文向希望使用GMM进行研究的从业人员提供建议。

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《Educational and Psychological Measurement》 |2014年第4期|共28页
作者
Min Liu; Gregory R. Hancock;
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正文语种 eng
中图分类教育心理学;
关键词
growth mixture models; model convergence; class identification;

机译：混合增长模型;模型收敛;分类识别;

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专利

1. Unrestricted Mixture Models for Class Identification in Growth Mixture Modeling [J] . Min Liu, Gregory R. Hancock Educational and Psychological Measurement . 2014,第4期

机译：用于生长混合物建模中类别识别的无限制混合物模型
2. An introduction to latent variable mixture modeling (Part 2): Longitudinal latent class growth analysis and growth mixture models [J] . BerlinK.S., ParraG.R., WilliamsN.A. Journal of pediatric psychology . 2014,第2期

机译：潜在变量混合物建模简介（第2部分）：纵向潜在类增长分析和增长混合物模型
3. The Use of Growth Mixture Modeling for Studying Resilience to Major Life Stressors in Adulthood and Old Age: Lessons for Class Size and Identification and Model Selection [J] . Infurna Frank J., Grimm Kevin J. The journals of gerontology. Series B. Psychological sciences and social sciences . 2018,第1期

机译：使用生长混合建模对成年和老年人的主要生命压力源的研究：课程规模和识别和模型选择的课程
4. Gaussian mixture models based on the frequency spectra for human identification and illumination classification [C] . Mitra, S., Savvides, . 2005

机译：基于频谱的高斯混合模型用于人类识别和照明分类
5. Identification of latent groups in growth mixture modeling: A Monte Carlo study. [D] . Liu, Christine Qi. 2008

机译：在生长混合物建模中识别潜在基团：蒙特卡洛研究。
6. Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes [O] . Eun Sook Kim, Yan Wang -1

机译：存在潜在类之间的测量不变性的混合模型和二阶混合模型的类枚举和参数恢复
7. Class Enumeration and Parameter Recovery of Growth Mixture Modeling and Second-Order Growth Mixture Modeling in the Presence of Measurement Noninvariance between Latent Classes [O] . Eun Sook Kim, Yan Wang 2017

机译：生成混合物建模的类枚举和参数恢复以及潜在类别之间测量非不变性的二阶增长混合建模
8. Growth Kinetics and Modeling of Direct Oxynitride Growth with NO-O2 Gas Mixtures [R] . Everist, S. , Nelson, J. , Sharangpani, R. , 1999

机译：NO-O2气体混合物生长直接氮氧化物的生长动力学及模型

Unrestricted Mixture Models for Class Identification in Growth Mixture Modeling

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