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Three Notes on ALSCAL

Published online by Cambridge University Press:  01 January 2025

Forrest W. Young ,
Yoshio Takane  and
Rostyslaw Lewyckyj
Forrest W. Young*
Affiliation:
University of North Carolina
Yoshio Takane
Affiliation:
University of North Carolina
Rostyslaw Lewyckyj
Affiliation:
University of North Carolina
*
Requests for reprints should be sent to Forrest Young, Psychometric Laboratory, Davie Hall 013-A, University of North Carolina, Chapel Hill, North Carolina 27514.
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Abstract

It is reported that (1) a new coordinate estimation routine is superior to that originally proposed for ALSCAL; (2) an oversight in the interval measurement level case has been found and corrected; and (3) a new initial configuration routine is superior to the original.

Keywords

multidimensional scalingoptimal scalingdata quantificationdata analysiseuclidiannonmetric

Information

Type
Notes And Comments
Information
Psychometrika , Volume 43 , Issue 3 , September 1978 , pp. 433 - 435
Copyright
Copyright © 1978 The Psychometric Society

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Footnotes

Dr. Takane is currently at McGill University, Department of Psychology.

References

Reference Notes

de Leeuw, J., Pruzansky, S. A new computational method to fit the weighted euclidean distance model. (Tech. Mem. 75-1299-12), 1975, Murray Hill, New Jersey: Bell Laboratories.Google Scholar
de Leeuw, J. Personal communication, 1976.Google Scholar

References

Carroll, J. D., & Chang, J. J. Analysis of individual differences in multidimensional scaling via an N-way generalization of “Eckart-Young” decomposition. Psychometrika, 1970, 35, 238–319.CrossRefGoogle Scholar
Schönemann, P. H. An algebraic solution for a class of subjective metrics models. Psychometrika, 1972, 37, 441–451.CrossRefGoogle Scholar
Takane, Y., Young, F. W., & de Leeuw, J. Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features. Psychometrika, 1977, 42, 7–67.CrossRefGoogle Scholar