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Shrinking Small Sample Problems in Multilevel Structural Equation Modeling via Regularization of the Sample Covariance Matrix
Structural Equation Modeling: A Multidisciplinary Journal ( IF 2.5 ) Pub Date : 2024-08-09 , DOI: 10.1080/10705511.2024.2380919 Julia-Kim Walther 1 , Martin Hecht 2 , Steffen Zitzmann 3
Structural Equation Modeling: A Multidisciplinary Journal ( IF 2.5 ) Pub Date : 2024-08-09 , DOI: 10.1080/10705511.2024.2380919 Julia-Kim Walther 1 , Martin Hecht 2 , Steffen Zitzmann 3
Affiliation
Small sample sizes pose a severe threat to convergence and accuracy of between-group level parameter estimates in multilevel structural equation modeling (SEM). However, in certain situations, such...
中文翻译:
通过样本协方差矩阵正则化解决多级结构方程模型中的小样本问题
小样本量对多级结构方程模型 (SEM) 中组间参数估计的收敛性和准确性构成严重威胁。然而,在某些情况下,诸如...
更新日期:2024-08-10
中文翻译:
通过样本协方差矩阵正则化解决多级结构方程模型中的小样本问题
小样本量对多级结构方程模型 (SEM) 中组间参数估计的收敛性和准确性构成严重威胁。然而,在某些情况下,诸如...