title: Measuring Latent Quantities.
abstract: A distinction is proposed between measures and predictors of latent variables. The discussion addresses the consequences of the distinction for the true-score model, the linear factor model, Structural Equation Models, longitudinal and multilevel models, and item-response models. A distribution-free treatment of calibration and error-of-measurement is given, and the contrasting properties of measures and predictors are examined.
authors: The University of Sydney, Sydney, Australia. rmcdonal@cyrus.psych.illinois.edu.
authors: Roderick P
authors: RP
authors: McDonald
keywords: Bayes predictors; calibration; regression predictors; standard error of measurement