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Mahadi Hasan Miraz; Sanmugam Annamalah; Rohana Sham – Educational Process: International Journal, 2025
Background/purpose: It revisits Partial Least Squares Structural Equation Modeling (PLS-SEM) as a robust tool for analyzing non-normal data and small samples, offering predictive modeling advantages. This study also compares the merits, practical applications, and added value of both tools in tackling complicated research issues, notably in…
Descriptors: Evaluation Methods, Educational Research, Structural Equation Models, Data Analysis
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Moore, Alan D. – Remedial and Special Education, 1995
This article suggests the use of structural equation modeling in special education research, to analyze multivariate data from both nonexperimental and experimental research. It combines a structural model linking latent variables and a measurement model linking observed variables with latent variables. (Author/DB)
Descriptors: Data Analysis, Disabilities, Educational Research, Elementary Secondary Education