SIMULATION STUDY FOR UNDERSTANDING THE PERFORMANCE OF PARTIAL LEAST SQUARES–MODIFIED FUZZY CLUSTERING (PLSMFC) IN FINDING GROUPS UNDER STRUCTURAL EQUATION MODEL

In structural equation modeling (SEM), it is usually assumed that all observations follow only one model. This becomes irrelevant if the observations contain natural groups, each of which has a different SEM model. Mukid et al (2002) have proposed the partial least squares-modified fuzzy clustering...

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Autors principals:	Moch. Abdul Mukid, Bambang Widjanarko Otok, Suparti Suparti
Format:	Artigo
Idioma:	Inglês
Publicat:	Universitas Diponegoro 2023-12-01
Col·lecció:	Media Statistika
Matèries:	unobserved heterogenity partial least squares fuzzy clustering
Accés en línia:	https://ejournal.undip.ac.id/index.php/media_statistika/article/view/59851
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