Hostname: page-component-5f745c7db-xx4dx Total loading time: 0 Render date: 2025-01-06T07:34:27.687Z Has data issue: true hasContentIssue false

On the Precision of a Euclidean Structure

Published online by Cambridge University Press:  01 January 2025

Alvin M. Best III
Affiliation:
National Board of Medical Examiners
Forrest W. Young*
Affiliation:
University of North Carolina at Chapel Hill
Robert G. Hall
Affiliation:
Rockwell International
*
Requests for reprints should be sent to Forrest Young, L. L. Thurstone Psychometric Laboratory, Davie Hall 013A, University of North Carolina, Chapel Hill, N.C. 27514.

Abstract

This paper is concerned with the development of a measure of the precision of a multidimensional euclidean structure. The measure is a precision index for each point in the structure, assuming that all the other points are precisely located. The measure is defined and two numerical methods are presented for its calculation. A small Monte Carlo study of the measure's behavior is performed and findings discussed.

Type
Original Paper
Copyright
Copyright © 1979 The Psychometric Society

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

The authors are indebted to Bert F. Green, Jr., Ronald Helms, Andrea Sedlak, and three anonymous reviewers for their valuable comments on earlier drafts of this paper.

References

Reference Note

Best, A. M., Nonmetric multidimensional scaling: An index of partial precision of a scaling configuration. Unpublished Master's Thesis, University of North Carolina at Chapel Hill, 1978.Google Scholar

References

Anderson, T. W. An introduction to multivariate statistical analysis, 1958, New York: Wiley.Google Scholar
Auman, R. J., & Kruskal, J. B. The coefficients in an allocation problem. Naval Research Logistics Quarterly, 1959, 5, 111123.CrossRefGoogle Scholar
Bock, R. D. Multivariate statistical methods in behaviorial research, 1975, New York: McGraw-Hill.Google Scholar
Grübaum, B. Convex polytopes, 1967, New York: Wiley.Google Scholar
Kendall, M. G. A course in the geometry of n dimensions, 1961, London, England: Charles Griffin & Co., Ltd..Google Scholar
Shepard, R. The analysis of proximities: Multidimensional scaling with an unknown distance function, II. Psychometrika, 1962, 27, 461486.Google Scholar
Suppes, R. & Winet, M. An axiomatization of utility based on the notion of utility differences. Management Science, 1955, 1, 259270.CrossRefGoogle Scholar
Young, F. W. Nonmetric multidimensional scaling: Recovery of metric information. Psychometrika, 1970, 35, 455473.CrossRefGoogle Scholar