之前的文章介绍了潜增长曲线模型(Latent Growth Curve Models, LGCM),其可用于探索群体特征随时间变化发展的过程或者轨迹,但这一方法有一个前提假设——群体同质性,即调查样本中所有个体具有相同或类似的平均增长轨迹,也就是具有相同的截距和斜率。 但在有些情况下,或者说现实情况下,个体间存在差异,并且差异可能较大...
Latent class growth modelsUnderstanding the long-term course of problematic drinking is a fundamental concern for health services research in the alcohol field. The stability of, or change in, the course of drinking—especially heavy drinking—has both theoretical and applied relevance to alcohol ...
Latent Factor and Latent Class Models to Accommodate Heterogeneity, Using Structural Equation Latent Growth Models Latent class models can be applied to longitudinal and clustered data. In the longitudinal setting, the classes are characterized by average trajectories (or ‘growth curves’) over time. ...
We will use person-centered research methods such as latent class growth modeling to examine the heterogeneity of depression trajectories. Such a method would be more beneficial in the context of the Covid-19 pandemic for individuals who have been more chronically affected by depression. Finally, ...
纵向结构方程模型第3.0期:潜在增长曲线模型(一)/Latent Growth Curve Models 1 墨寒轩主人 5152 16 结构方程Structural Equation Models with lavaan in R - Sally R_Ladies 123 0 调查问卷测量不变性Measurement Invariance AMOS 大春师兄 2503 33 潜类别选择模型(有限混合模型)Latent Class Logit Model (Finite...
In the SEM literature, simplex and latent growth models have always been considered competing approaches for the analysis of longitudinal data, even if they are strongly connected and both of specific importance. General dynamic models, which simultaneously estimate autoregressive structures and latent ...
2007 . A comparison of latent growth models for constructs measured by multiple items. Structural Equation Modeling , 14: 581–610. [Taylor & Francis Online] ,Leite, W. L. (2007). A comparison of latent growth models for constructs measured by multiple items. Structural Equation Modeling, 14...
Thanks very much. Some additional questions re: latent class growth analysis with 4 time points. 1) In the output, 3 classifications are given: i) final class counts and proportions for the latent class patterns based on the estimated model, ii) final class counts and proportions for the lat...
在Mplus中，如要构建无条件线性LGCM，首先设定数据文件（FILE 123.dat），变量（如Y1-5，缺失值设为99），并选择最大似然估计（ESTIMATOR=ML）。关键步骤包括创建截距和斜率因子，将斜率负荷与时间变量关联。输出包括技术信息（TECH1, TECH4, STAND）和可视化图表（PLOT3），模型的拟合度是结果解读的...
Latent Growth Models Latent class models can be applied to longitudinal and clustered data. In the longitudinal setting, the classes are characterized by average trajectories (or ‘growth curves’) over time. Consequently, these models are often referred to as latent growth models (LGMs). For exa...