Measurement bias and multidimensionality; an illustration of bias detection in multidimensional measurement models

DOI10.1007/s10182-010-0128-zzbMath1443.62412OpenAlexW2126379293MaRDI QIDQ1633176

Suzanne Jak, Conor V. Dolan, 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/s10182-010-0128-z

zbMATH Keywords

factor analysismeasurement invariancedifferential item functioningstructural equation modelingmultidimensionalityMIMIC analysis

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) 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 ⋮ Nonlinear structural equation modeling: is partial least squares an alternative?

Uses Software

• Mplus

Cites Work

• Unnamed Item
• A scaled difference chi-square test statistic for moment structure analysis
• Using restricted factor analysis with latent moderated structures to detect uniform and nonuniform measurement bias; a simulation study
• Using structural equation modelling to detect measurement bias and response shift in longitudinal data
• Measurement invariance, factor analysis and factorial invariance
• A GENERAL METHOD FOR STUDYING DIFFERENCES IN FACTOR MEANS AND FACTOR STRUCTURE BETWEEN GROUPS

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