Sensitivity analysis of structural equation models

DOI10.1007/BF02296960zbMath0866.62044MaRDI QIDQ676530

Shu-Jia Wang, Sik-Yum Lee

Publication date: 13 July 1997

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

sensitivity analysiseigenvalueseigenvectorsstructural equation modelgeneralized least squares estimationinfluence measureCook's distancecase weight perturbationinfluence graph

Mathematics Subject Classification ID

Linear inference, regression (62J99) Diagnostics, and linear inference and regression (62J20)

Related Items

Bayesian diagnostics of transformation structural equation models, LOCAL INFLUENCE IN NONLINEAR REPRODUCTIVE DISPERSION MODELS, Local influence diagnostics for the test of mean-variance efficiency and systematic risks in the capital asset pricing model, Local influence on the ratio and Horvitz-Thompson estimators through the second order approach, Local influence analysis of the 2PL IRT model for binary responses, Local influence in principal component analysis: relationship between the local influence and influence function approaches revisited, Robust mean and covariance structure analysis through iteratively reweighted least squares, Influence analysis of structural equation models with polytomous variables, Assessing local influence for nonlinear structural equation models with ignorable missing data, On local influence analysis of full information item factor models, Local influence analysis of nonlinear structural equation models, Local influence analysis of multivariate probit latent variable models, Local influence for generalized linear mixed models, Perturbation selection and local influence analysis for nonlinear structural equation model, Local Influence in Comparative Calibration Models

Uses Software

• SACS
• IMSL Numerical Libraries
• LISREL
• EQS
• BMDP

Cites Work

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• Sensitivity analysis in maximum likelihood factor analysis
• Sensitivity analysis in principal component analysis:influence on the subspace spanned by principal components.
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• Regression Diagnostics for General Linear Regression Models
• Influence in principal components analysis
• Influential Observations in Linear Regression
• A Predictive View of the Detection and Characterization of Influential Observations in Regression Analysis
• STATISTICAL SOFTWARE SACS^|^mdash;SENSITIVITY ANALYSIS IN COVARIANCE STRUCTURE ANALYSIS
• Robust Statistics