Covariance structural analysis with polytomous variables in several populations
DOI10.1007/BF02009633zbMath0770.62045OpenAlexW2085516660MaRDI QIDQ2367935
Wai-Yin Poon, Sik-Yum Lee, Peter M. Bentler, Abdelmonem A. Afifi
Publication date: 17 August 1993
Published in: Acta Mathematicae Applicatae Sinica. English Series (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/bf02009633
Multivariate analysis (62H99) Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Applications of statistics to social sciences (62P25) Probabilistic methods, stochastic differential equations (65C99) Applications of statistics to psychology (62P15)
Uses Software
Cites Work
- Some contributions to efficient statistics in structural models: Specification and estimation of moment structures
- Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients
- Covariance structure analysis in several populations
- Factor analysis of dichotomized variables
- Contributions to factor analysis of dichotomous variables
- Full maximum likelihood analysis of structural equation models with polytomous variables
- Model conditions for asymptotic robustness in the analysis of linear relations
- Simultaneous factor analysis in several populations
- A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities
- On testing functional constraints in structural equation models
- Robustness of statistical inference in factor analysis and related models
- A GENERAL METHOD FOR STUDYING DIFFERENCES IN FACTOR MEANS AND FACTOR STRUCTURE BETWEEN GROUPS
- Asymptotically distribution‐free methods for the analysis of covariance structures
This page was built for publication: Covariance structural analysis with polytomous variables in several populations