A simulation study comparing model fit measures of structural equation modeling with multivariate contaminated normal distribution

DOI10.1080/03610918.2019.1698745OpenAlexW2999163008WikidataQ126348193 ScholiaQ126348193MaRDI QIDQ5082997

İlkay Doğan

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2019.1698745

zbMATH Keywords

confirmatory factor analysisgoodness of fit measuresADF methodmultivariate nonnormality

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Sampling theory, sample surveys (62D05) Characterization and structure theory of statistical distributions (62E10) Analysis of variance and covariance (ANOVA) (62J10)

Cites Work

• Parsimonious mixtures of multivariate contaminated normal distributions
• The effect of different data structures, sample sizes on model fit measures
• Multiple scaled contaminated normal distribution and its application in clustering
• Asymptotically distribution‐free methods for the analysis of covariance structures
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