A penalized likelihood method for multi‐group structural equation modelling

DOI10.1111/bmsp.12130zbMath1402.62125OpenAlexW2793380715WikidataQ50421060 ScholiaQ50421060MaRDI QIDQ4557863

Po-Hsien Huang

Publication date: 27 November 2018

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/bmsp.12130

zbMATH Keywords

factor analysismeasurement invariancestructural equation modellingpenalized likelihood methodmultigroup structural equation modelling

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (5)

Single- and multiple-group penalized factor analysis: a trust-region algorithm approach with integrated automatic multiple tuning parameter selection ⋮ Clustered sparse structural equation modeling for heterogeneous data ⋮ DIF statistical inference without knowing anchoring items ⋮ Sparse and simple structure estimation via prenet penalization ⋮ Differential item functioning analysis without a priori information on anchor items: QQ plots and graphical test

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