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Improving the Efficiency and Effectiveness of Interactively Selected MDS Data Designs

Published online by Cambridge University Press:  01 January 2025

Rex S. Green and
Peter M. Bentler
Rex S. Green
Affiliation:
University of California, San Francisco
Peter M. Bentler*
Affiliation:
University of California, Los Angeles
*
Requests for reprints should be sent to Peter M. Bentler, Department of Psychology, University of California, Los Angeles, California 90024.
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Abstract

Two revisions of interactive MDS data selection procedures are presented. One revision improves the estimates of the MDS parameters by adding an analysis of the volume of the spatial coordinates of stimuli. Frames of stimuli augmented by an analysis of volume should more nearly surround the swarm of stimulus points. The second revision, based on randomly ordering the list of stimuli, permits more efficient data designs to be selected by reducing the number of judgments collected but never analyzed.

Keywords

multidimensional scalingINTERSCALincomplete data designs

Information

Type
Notes And Comments
Information
Psychometrika , Volume 44 , Issue 1 , March 1979, pp. 115 - 119
Copyright
Copyright © 1979 The Psychometric Society

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Footnotes

This investigation was supported in part by a Research Scientist Development Award (KO2-DA00017), research grants (DA01070 and MH24149) from the U.S. Public Health Service, and a research and instruction award (IUC 2-47622-1990) from the University of California.

References

Reference Note

Baker, R. F., & Young, F. W. Interactive scaling with individual subjects II: An improved system, 1974, Chapel Hill, North Carolina: L. L. Thurstone Psychometric Laboratory.Google Scholar

References

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