Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study
type: Item
instance of: scholarly article
title: Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study
zbMATH Open document ID: 1443.62407
author: M. T. Barendse
author: F. J. Oort
author: G. J. A. Garst
published in: AStA. Advances in Statistical Analysis
publication date: 2018-12-19T00:00:00Z
Mathematics Subject Classification ID: 62P15
Mathematics Subject Classification ID: 62H25
zbMATH DE Number: 6995816
zbMATH Keywords: measurement bias
zbMATH Keywords: differential item functioning
zbMATH Keywords: nonlinear structural equation modelling
zbMATH Keywords: factor analysis
zbMATH Keywords: latent moderated structures
describes a project that uses: Mplus
MaRDI profile type: Publication
full work available at URL: s10182-010-0126-1
OpenAlex ID: W2036687928
cites work: Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models
cites work: Maximum likelihood estimation of latent interaction effects with the LMS method
cites work: Measurement invariance, factor analysis and factorial invariance
cites work: A scaled difference chi-square test statistic for moment structure analysis
cites work: Nonlinear structural equation modeling: is partial least squares an alternative?
DOI: 10.1007/S10182-010-0126-1
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description: scientific article; zbMATH DE number 6995816