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Label Switching in Latent Class Analysis: Accuracy of Classification, Parameter Estimates, and Confidence Intervals
Structural Equation Modeling: A Multidisciplinary Journal ( IF 6 ) Pub Date : 2023-08-14 , DOI: 10.1080/10705511.2023.2213842
Meng Qiu 1 , Ke-Hai Yuan 1
Affiliation  

Latent class analysis (LCA) is a widely used technique for detecting unobserved population heterogeneity in cross-sectional data. Despite its popularity, the performance of LCA is not well understo...

中文翻译:

潜在类别分析中的标签切换:分类的准确性、参数估计和置信区间

潜在类别分析 (LCA) 是一种广泛使用的技术,用于检测横截面数据中未观察到的群体异质性。尽管 LCA 很受欢迎,但其性能并没有得到很好的了解...
更新日期:2023-08-14
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