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Using Information Criteria Under Missing Data: Full Information Maximum Likelihood Versus Two-Stage Estimation
Structural Equation Modeling: A Multidisciplinary Journal ( IF 2.5 ) Pub Date : 2020-08-07 , DOI: 10.1080/10705511.2020.1780925
Keke Lai 1
Affiliation  

The full information maximum likelihood (FIML) and the two-stage (TS) procedure are two popular likelihood-based approaches to SEM model estimation with missing data. After model estimation, one of...

中文翻译:

在缺失数据下使用信息标准:完整信息最大似然与两阶段估计

全信息最大似然 (FIML) 和两阶段 (TS) 程序是两种流行的基于似然的方法,用于缺失数据的 SEM 模型估计。在模型估计之后,其中之一...
更新日期:2020-08-07
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