Introduction of a new measure for detecting poor fit due to omitted nonlinear terms in SEM

DOI10.1007/s10182-010-0130-5zbMath1443.62414OpenAlexW2005209066WikidataQ60998334 ScholiaQ60998334MaRDI QIDQ1633180

Karin Schermelleh-Engel, Andreas G. Klein

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/s10182-010-0130-5

zbMATH Keywords

nonlinear modelMonte Carlo studyheteroscedasticitystructural equation modelinginteraction effectquadratic effect

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (2)

Nonlinear structural equation modeling: is partial least squares an alternative? ⋮ Second-order stochastic differential equation model as an alternative for the ALT and CALT models

Uses Software

• Mplus
• LISREL
• Amos
• EQS
• BMDP

Cites Work

• Unnamed Item
• 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
• Nonlinear structural equation modeling: is partial least squares an alternative?
• Maximum likelihood estimation of latent interaction effects with the LMS method
• Consistency of iterative operator-splitting methods: Theory and applications

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