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On Application of the Partition Distance Concept to a Comparative Analysis of Psychological or Sociological Tests 

Authors: A. D'yachkov a;  V. Rykov b;  D. Torney c; S. Yekhanin d
Affiliations:   a Department of Probability Theory, Faculty of Mechanics and Mathematics, Moscow State University, Moscow, Russia
b Department of Mathematics, University of Nebraska at Omaha, Omaha, Nebraska, USA
c Theoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
d Computer Science and Artificial Intelligence Laboratory, Cambridge, Massachusetts, USA
DOI: 10.1080/07362990500397533
Publication Frequency: 6 issues per year
Published in: journal Stochastic Analysis and Applications, Volume 24, Issue 1 March 2006 , pages 61 - 78
Formats available: HTML (English) : PDF (English)
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Abstract

We discuss two distance concepts between q-ary n-sequences, 2 ≤ q < n, called partition distances. This distances are metrics in the space of all partitions of a finite n-set. For the metrics, we study codes called q-partition codes and present a construction of these codes based on the first order Reed-Muller codes. A random coding bound is obtained. We also work out an application of q-partition codes to the statistical analysis of psychological or medical tests using questionnaires.
Keywords: Clusters analysis; Medical tests; Partition codes; Partitions distance; Partitions of sets; Psychological tests
Mathematics Subject Classification: Primary 62P15; Secondary 05A18, 94B60
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