Use of non-normality in structural equation modeling: Application to direction of causation

DOI10.1016/j.jspi.2006.01.017zbMath1145.62050OpenAlexW2152381591MaRDI QIDQ947250

Shohei Shimizu, Yutaka Kano

Publication date: 29 September 2008

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2006.01.017

zbMATH Keywords

higher-order momentscausal inferencestructural equation modelingequivalent modelunidentified model

Mathematics Subject Classification ID

Multivariate analysis (62H99) Factor analysis and principal components; correspondence analysis (62H25) Hypothesis testing in multivariate analysis (62H15)

Related Items (3)

Optimal unbiased estimation of some population central moments ⋮ Unbiased estimates for moments and cumulants in linear regression ⋮ Asymmetric properties of the Pearson correlation coefficient: Correlation as the negative association between linear regression residuals

Uses Software

• LISREL
• Amos
• FastICA
• EQS

Cites Work

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• Large Sample Properties of Generalized Method of Moments Estimators
• Some contributions to efficient statistics in structural models: Specification and estimation of moment structures
• Factor analysis for non-normal variables
• Consistent moment estimators of regression coefficients in the presence of errors in variables
• A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities
• Statistics and Causal Inference
• Mean and Covariance Structure Analysis: Theoretical and Practical Improvements
• Beyond SEM: General Latent Variable Modeling
• Asymptotically distribution‐free methods for the analysis of covariance structures
• Observational studies.

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