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A Probability Model for Errors of Classification. II. Particular Cases

Published online by Cambridge University Press:  01 January 2025

J. P. Sutcliffe*
Affiliation:
University of Sydney

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.

Type
Original Paper
Copyright
Copyright © 1965 Psychometric Society

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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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