Constrained Nonmetric Multidimensional Scaling.

Abstract

One of the most crucial aspects of most multidimensional scaling procedures is that the lowest-stress configuration is the output produced. Unfortunately, little is known about the uniqueness of a configuration generated from fallible data, yet this affects the interpretation of the spatial output. It is possible, however, to examine the uniqueness of a scaled solution by constraining the configuration to conform to a particular psychological model. A multidimensional scaling program, CONSCAL, which will allow the imposition of such constraints, is proposed. The implications of this approach for interpreting scaling outputs and for model testing in general are discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1979
Accession Number
ADA071611

Entities

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  • Elliot Noma
  • Janice Johnson

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  • University of Michigan

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  • Biomedical

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  • Regression Analysis.
  • Theoretical Analysis.