<i>L<sub>p</sub></i> Loss Functions in Invariance Alignment and Haberman Linking with Few or Many Groups

<i>L<sub>p</sub></i> Loss Functions in Invariance Alignment and Haberman Linking with Few or Many Groups

The comparison of group means in latent variable models plays a vital role in empirical research in the social sciences. The present article discusses an extension of invariance alignment and Haberman linking by choosing the robust power loss function <inline-formula><math display="inl...

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Bibliographic Details
Main Author: Alexander Robitzsch
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Stats
Subjects:
linking
invariance alignment
Haberman linking
measurement invariance
partial invariance
differential item functioning
Online Access:https://www.mdpi.com/2571-905X/3/3/19

Internet

https://www.mdpi.com/2571-905X/3/3/19

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