Regression estimation and post-stratification in factor analysis

DOI10.1007/BF02294059zbMath0623.62049MaRDI QIDQ1091710

C. J. Skinner

Publication date: 1986

Published in: Psychometrika (Search for Journal in Brave)

zbMATH Keywords

factor analysisauxiliary variablespoststratificationLISRELeffects of nonrandom selectionRegression estimation

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Estimation in multivariate analysis (62H12) Sampling theory, sample surveys (62D05)

Related Items (1)

Estimation of an indicator of the representativeness of survey response

Cites Work

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• On the geometric approach to multivariate selection
• Alternative approaches to factorial invariance
• Notes on factorial invariance
• A multiple group method of factoring the correlation matrix
• Maximum Likelihood Estimates for a Multivariate Normal Distribution when some Observations are Missing
• Robustness Considerations in the Choice of a Method of Inference for Regression Analysis of Survey Data
• Post-Stratification and Ratio Estimation: Usages of Auxiliary Information in Survey Sampling and Opinion Polls
• The Effect of Sample Design on Principal Component Analysis
• Optimization of stochastic relay control systems by means of dimensional analysis
• Models for Nonresponse in Sample Surveys
• Multivariate prediction from selected samples
• Characterizing the Estimation of Parameters in Incomplete-Data Problems
• Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable
• Inference and missing data
• On the Validity of Inferences from Non-random Sample
• Asymptotically distribution‐free methods for the analysis of covariance structures

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