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Heungsun Hwang; Gyeongcheol Cho; Hosung Choo – Structural Equation Modeling: A Multidisciplinary Journal, 2024
GSCA Pro is free, user-friendly software for generalized structured component analysis structural equation modeling (GSCA-SEM), which implements three statistical methods for estimating models with factors only, models with components only, and models with both factors and components. This tutorial aims to provide step-by-step illustrations of how…
Descriptors: Research Tools, Structural Equation Models, Computer Software, Research Methodology
Peer reviewedBoomsma, Anne – Structural Equation Modeling, 2000
Provides advice on writing a research paper when structural equation models are being used in empirical work. Focuses on what information should be reported and what can be deleted without much loss of judgment about the quality of the research and validity of conclusions. (SLD)
Descriptors: Research Reports, Structural Equation Models, Technical Writing, Validity
Peer reviewedHatcher, Larry – Structural Equation Modeling, 1996
Presents an approach (designed for beginners) to using PROC CALIS, a Statistical Analysis System (SAS) procedure, to perform path analyses using observed variables. The approach begins with the development of a figure to illustrate the researcher's theoretical model, and then converts the figure into a PROC CALIS program. (SLD)
Descriptors: Chi Square, Factor Analysis, Goodness of Fit, Path Analysis
Peer reviewedKunnan, Antony John – Language Testing, 1998
Provides an introduction to structural equation modelling (SEM) for language research, including: general objectives of SEM applications relevant to language assessment; methodology and statistical assumptions about data that must be met; commonly-used SEM steps and concepts; application matters, with sample models; and recent critical discussions…
Descriptors: Language Research, Language Tests, Mathematical Formulas, Models
Peer reviewedMoore, 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

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