Ridge structural equation modelling with correlation matrices for ordinal and continuous data

DOI10.1348/000711010X497442zbMath1218.62136OpenAlexW1783584949WikidataQ33877760 ScholiaQ33877760MaRDI QIDQ3018639

Peter M. Bentler, Ruilin Wu, Ke-Hai Yuan

Publication date: 27 July 2011

Published in: British Journal of Mathematical and Statistical Psychology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1348/000711010x497442

Mathematics Subject Classification ID

Related Items (1)

Joint analysis of semicontinuous data with latent variables

Uses Software

• KELLEY
• Mplus
• LISREL
• EQS

Cites Work

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• Factor analysis of dichotomized variables
• On various causes of improper solutions in maximum likelihood factor analysis
• Contributions to factor analysis of dichotomous variables
• Full maximum likelihood analysis of structural equation models with polytomous variables
• Asymptotics of estimating equations under natural conditions.
• On the estimation of polychoric correlations and their asymptotic covariance matrix
• Limited information estimation and testing of discretized multivariate normal structural models
• A polychoric instrumental variable (PIV) estimator for structural equation models with categorical variables
• Synthesis of variance
• A two‐stage estimation of structural equation models with continuous and polytomous variables
• Some Theorems on Quadratic Forms Applied in the Study of Analysis of Variance Problems, I. Effect of Inequality of Variance in the One-Way Classification

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