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A Probability Model for Errors of Classification. II. Particular Cases
Published online by Cambridge University Press: 01 January 2025
Abstract
General features of a probability model for errors of classification are recapitulated as an introduction to particular cases and applications. Several models for dichotomous and nondichotomous systems are examined in sufficient detail to elaborate a procedure for dealing with any particular case. The system O = f(T, E) has empirical reference where, as statistic or parameter, probability of occasional subclass membership is given by observation, and one seeks to recover T and E values from O. A procedure for relating models and data is described. Applications of the concepts and methods are illustrated for several areas of psychological research.
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- Copyright © 1965 Psychometric Society
Footnotes
With grateful acknowledgment to the Rockefeller Foundation; and to the United States Department of Health, Education, and Welfare, Public Health Service, for N. I. M. H. Grant M-3950.
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