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A Direct Approach to Individual differences Scaling using Increasingly Complex Transformations

Published online by Cambridge University Press:  01 January 2025

James C. Lingoes  and
Ingwer Borg
James C. Lingoes*
Affiliation:
The University of Michigan
Ingwer Borg
Affiliation:
Rheinisch-Westfälische Technische Hochschule
*
Requests for reprints should be sent to James C. Lingoes, The University of Michigan, 1005 North University Building, Ann Arbor, Michigan 48109.
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Abstract

A family of models for the representation and assessment of individual differences for multivariate data is embodied in a hierarchically organized and sequentially applied procedure called PINDIS. The two principal models used for directly fitting individual configurations to some common or hypothesized space are the dimensional salience and perspective models. By systematically increasing the complexity of transformations one can better determine the validities of the various models and assess the patterns and commonalities of individual differences. PINDIS sheds some new light on the interpretability and general applicability of the dimension weighting approach implemented by the commonly used INDSCAL procedure.

Keywords

individual differences scalingprocrustean transformationsmatrix fittingconfiguration similarity
Type
Original Paper
Information
Psychometrika , Volume 43 , Issue 4 , December 1978 , pp. 491 - 519
Copyright
Copyright © 1978 The Psychometric Society

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References

Reference Notes

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