Evaluation of Analysis Approaches for Latent Class Analysis with Auxiliary Linear Growth Model.
Evaluation of Analysis Approaches for Latent Class Analysis with Auxiliary Linear Growth Model.
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DOI：
10.3389/fpsyg.2018.00130
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发表时间：
2018
影响因子：
3.8
通讯作者：
Lan P
中科院分区：
文献类型：
--
作者：
Kamata A;Kara Y;Patarapichayatham C;Lan P
本研究调查了三种选择的方法来估计一个两阶段的混合模型，其中第一阶段是一个两类潜在的类分析模型和第二阶段是一个线性增长模型与四个时间点的性能。评价的三种方法为（a）一步法，（B）三步法和（c）病例权重法。得到了一些重要的结果。首先，案例权重法和三步法比一步法具有更高的收敛速度。第二，它表明，案例权重和三步的方法一般做得更好，在正确的模型选择比一步的方法。第三，据透露，参数同样恢复良好的所有三种方法为较大的类。然而，三种方法之间的较小类的参数恢复不同。例如，案例权重方法产生的经验标准误差不断降低。然而，估计的标准误大大低估的情况下，重量和三步的方法时，类分离低。而且，病例权重法的偏倚显著高于其他两种方法。
This study investigated the performance of three selected approaches to estimating a two-phase mixture model, where the first phase was a two-class latent class analysis model and the second phase was a linear growth model with four time points. The three evaluated methods were (a) one-step approach, (b) three-step approach, and (c) case-weight approach. As a result, some important results were demonstrated. First, the case-weight and three-step approaches demonstrated higher convergence rate than the one-step approach. Second, it was revealed that case-weight and three-step approaches generally did better in correct model selection than the one-step approach. Third, it was revealed that parameters were similarly recovered well by all three approaches for the larger class. However, parameter recovery for the smaller class differed between the three approaches. For example, the case-weight approach produced constantly lower empirical standard errors. However, the estimated standard errors were substantially underestimated by the case-weight and three-step approaches when class separation was low. Also, bias was substantially higher for the case-weight approach than the other two approaches.
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影响因子：
3.6
作者：
Reinke, Wendy M.;Herman, Keith C.;Ialongo, Nicholas S.
通讯作者：
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影响因子：
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作者：
FORMANN, AK
通讯作者：
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影响因子：
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作者：
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通讯作者：
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DOI：
10.1080/10705511.2016.1158655
发表时间：
2016-07-01
影响因子：
6
作者：
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通讯作者：
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DOI：
10.1097/00000374-200006000-00020
发表时间：
2000-06-01
影响因子：
3.2
作者：
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通讯作者：
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