Data generation for composite-based structural equation modeling methods

DOI10.1007/s11634-020-00396-6zbMath1474.62188OpenAlexW3029419681MaRDI QIDQ2022482

Christian M. Ringle, Marko Sarstedt, Rainer Schlittgen

Publication date: 29 April 2021

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-020-00396-6

zbMATH Keywords

partial least squaresPLSSEMstructural equation modelingdata generationcomposite modelsGSCAgeneralized structural component analysis

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Measurement theory in the social and behavioral sciences (91C05) Measurement and performance in psychology (91E45)

Related Items (1)

Quantile composite-based path modeling: algorithms, properties and applications

Uses Software

• R
• GeSCA
• cbsem

Cites Work

• A method for simulating non-normal distributions
• Simulating multivariate nonnormal distributions
• Structural analysis of covariance and correlation matrices
• Estimation of generalized structured component analysis models with alternating least squares
• Generalized structured component analysis
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