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A Least Squares Solution for Paired Comparisons with Incomplete Data

Published online by Cambridge University Press:  01 January 2025

Harold Gulliksen*
Affiliation:
Princeton University and Educational Testing Service

Abstract

A precise and rapid procedure has been devised for dealing with a matrix of incomplete data in paired comparisons. This method should increase the general applicability of paired comparisons since experiments involving large numbers of stimuli may now be shortened to feasible experimental proportions. Also, we may now use sets of stimuli which cover a wide range, resulting in a considerable number of 100 per cent vs. 0 per cent judgments, and still give a precise solution depending equally on each of the observations.

Information

Type
Original Paper
Copyright
Copyright © 1956 The Psychometric Society

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