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Methodological Innovations in Structural Equation Modeling
Thu, April 24, 3:35 to 5:05pm MDT (3:35 to 5:05pm MDT), The Colorado Convention Center, Floor: Meeting Room Level, Room 704Session Type: Paper Session
Abstract
This session explores advanced Structural Equation Modeling methodologies, focusing on estimation techniques and measurement challenges in complex and small-sample scenarios. These papers enhance the understanding of robust SEM practices and methodological innovations in diverse research contexts.
Sub Unit
Chair
Papers
A Comparison of Four Approaches to Estimating Structural Coefficients in Small Samples With Multidimensional Items - Yiting Yao, Florida State University; Yanyun Yang, Florida State University
A Simulation Study Comparison of Estimating Structural Relationships With Small N in SEM - Chunhua Cao, University of Alabama; Christopher Adah Ocheni, University of Alabama
Regularization for Variable Selection in Multidimensional Factor and Network Models - jiaying chen, University of Arkansas; Xinya Liang, University of Arkansas; Jihong Zhang, University of Arkansas at Fayetteville
Global and Local Structural-After-Measurement Estimators for n-level Structural Equation Models - Benjamin Kelcey, University of Cincinnati; Fangxing Bai, Montana State University
Examining Cross-Lagged Effects Using Corrected Composite Scores Under Longitudinal Measurement Non-Invariance - Lu Liu, Florida State University; Yanyun Yang, Florida State University