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QUANTILE BASED PLS-SEM WITH WILD BOOTSTRAP

Partial Least Squares SEM (PLS-SEM) is the recommended technique for structural equation modeling (SEM), which assesses correlations between latent components concurrently, particularly for small samples and non-normal data. But because traditional PLS-SEM only calculates average correlations betwe...

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Principais autores: Abdul Malik Balami, Bambang Widjanarko Otok, Santi Wulan Purnami
פורמט: Artigo
שפה:Inglês
יצא לאור: Universitas Pattimura 2026-01-01
סדרה:Barekeng
נושאים:
PLS-SEM
Quantile Regression
Structural Equation Modeling
Wild Bootstrap
גישה מקוונת:https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/20932
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