A penalized likelihood method for multi‐group structural equation modelling

In the past two decades, statistical modelling with sparsity has become an active research topic in the fields of statistics and machine learning. Recently, Huang, Chen and Weng (2017, Psychometrika, 82, 329) and Jacobucci, Grimm, and McArdle (2016, Structural Equation Modeling: A Multidisciplinary...

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Veröffentlicht in:	British journal of mathematical & statistical psychology 2018-11, Vol.71 (3), p.499-522
1. Verfasser:	Huang, Po‐Hsien
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Simulation factor analysis Humans Latent Class Analysis Likelihood Functions Machine learning Mathematical models measurement invariance Optimization Parameters penalized likelihood Population (statistical) Psychometrics - methods Regression Analysis Statistical models Structural equation modeling structural equation modelling
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