A maximum likelihood approach for asymmetric non-normal data using a transformational measurement model

A transformational measurement model for structural equation modeling (SEM) of asymmetric non-normal data is proposed. This measurement model aligns with the expectation-maximization (EM) algorithm of the maximum likelihood estimation (MLE) method, creating adaptability to data that deviate from nor...

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Bibliographic Details
Main Authors: Karl Schweizer, Christine DiStefano, Brian French
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Applied Mathematics and Statistics
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fams.2023.1095769/full