Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study

DOI10.1007/s10182-010-0126-1zbMath1443.62407OpenAlexW2036687928MaRDI QIDQ1633174

M. T. Barendse, G. J. A. Garst, F. J. Oort

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/s10182-010-0126-1

zbMATH Keywords

factor analysismeasurement biasdifferential item functioninglatent moderated structuresnonlinear structural equation modelling

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to psychology (62P15)

Related Items (6)

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 ⋮ Nonlinear structural equation modeling: is partial least squares an alternative? ⋮ A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data ⋮ Enhancing measurement validity in diverse populations: Modern approaches to evaluating differential item functioning

Uses Software

• Mplus

Cites Work

• A scaled difference chi-square test statistic for moment structure analysis
• Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models
• Nonlinear structural equation modeling: is partial least squares an alternative?
• Measurement invariance, factor analysis and factorial invariance
• Maximum likelihood estimation of latent interaction effects with the LMS method

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