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Jefferson, T. R.; And Others – Psychometrika, 1989
The problem of scaling ordinal categorical data observed over two or more sets of categories measuring a single characteristic is addressed. Scaling is obtained by solving a constrained entropy model. A Kullback-Leibler statistic is generated that operationalizes a measure for the strength of consistency among the sets of categories. (TJH)
Descriptors: Classification, Entropy, Mathematical Models, Matrices