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Analysis of Pairwise Preference Data using Integrated B-Splines

Published online by Cambridge University Press:  01 January 2025

Suzanne Winsberg*
Affiliation:
Université De Montréal
James O. Ramsay
Affiliation:
McGill University
*
Requests for reprints should be sent to S. Winsberg, Section Mesure et Évaluation, Faculté des Sciences de I’Éucation, Université de Montréal, Montréal, P. Québec, Canada. H3C 3T3.

Abstract

Pairwise preference data are represented as a monotone integral transformation of difference on the underlying stimulus-object or utility scale. The class of monotone transformations considered is that in which the kernel of the integral is a linear combination of B-splines. Two types of data are analyzed: binary and continuous. The parameters of the transformation and the underlying scale values or utilities are estimated by maximum likelihood with inequality constraints on the transformation parameters. Various hypothesis tests and interval estimates are developed. Examples of artificial and real data are presented.

Type
Original Paper
Copyright
Copyright © 1981 The Psychometric Society

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Footnotes

This investigation was supported in part by a research grant from the Natural Sciences and Engineering Research Council Canada.

References

References Notes

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