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

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.