Measurement error and ANCOVA: Functional and structural relationship approaches

DOI10.1007/BF02294817zbMath0718.62171OpenAlexW2102084929MaRDI QIDQ2639543

Jo P. M. Pieters, Jeroen G. W. Raaijmakers

Publication date: 1987

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02294817

zbMATH Keywords

measurement errorANCOVAfunctional relationshipstructural relationship

Mathematics Subject Classification ID

Analysis of variance and covariance (ANOVA) (62J10)

Uses Software

• MINUIT

Cites Work

• Estimating linear statistical relationships
• An alternative to the methodology for analysis of covariance
• Estimating structural and functional relationships
• A Note on the Generation of Random Normal Deviates
• Large-Sample Covariance Analysis When the Control Variable is Fallible
• Comparison of Least Squares and Errors-in-Variables Regression, With Special Reference to Randomized Analysis of Covariance
• Large-sample theory for the linear structural relation
• Comparing Conditional Means and Variances in a Regression Model with Measurement Errors of Known Variances
• Estimation of the Slope and Analysis of Covariance when the Concomitant Variable is Measured with Error
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