Nonlinear structural equation modeling: is partial least squares an alternative?

DOI10.1007/s10182-010-0132-3zbMath1443.62416OpenAlexW2008020807WikidataQ60998336 ScholiaQ60998336MaRDI QIDQ1633183

Christina S. Werner, Helfried Moosbrugger, Andreas G. Klein, Karin Schermelleh-Engel

Publication date: 19 December 2018

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10182-010-0132-3

zbMATH Keywords

Monte Carlo studypartial least squaresLISRELLMSinteraction effectnonlinear structural equation modeling

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (3)

Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study ⋮ Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM ⋮ Consistent partial least squares for nonlinear structural equation models

Uses Software

• Mplus
• LISREL
• PRELIS

Cites Work

• PLS path modeling
• On the convergence of the partial least squares path modeling algorithm
• An alternative two stage least squares \((2SLS)\) estimator for latent variable equations
• Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study
• Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models
• Using structural equation modelling to detect measurement bias and response shift in longitudinal data
• Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM
• Maximum likelihood estimation of latent interaction effects with the LMS method
• Model comparison of nonlinear structural equation models with fixed covariates
• The Probability Function of the Product of Two Normally Distributed Variables
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