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Peer reviewedJefferson, 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
Peer reviewedHubert, Lawrence J.; Baker, Frank B. – Psychometrika, 1978
The "Traveling Salesman" and similar combinatorial programming tasks encountered in operations research are discussed as possible data analysis models in psychology, for example, in developmental scaling, Guttman scaling, profile smoothing, and data array clustering. A short overview of various computational approaches from this area of…
Descriptors: Computer Programs, Computer Science, Mathematical Models, Measurement
Peer reviewedYoung, Forrest W.; Cliff, Norman – Psychometrika, 1972
A metric multidimensional scaling (MDS) procedure based on computer-subject interaction is developed, and an experiment designed to validate the procedure is presented. (Author)
Descriptors: Algorithms, Mathematical Models, Multidimensional Scaling, Predictive Measurement
