Abstract
Restricted multidimensional scaling models [Bentler & Weeks, 1978] allowing constraints on parameters, are extended to the case of asymmetric data. Separate functions are used to model the symmetric and antisymmetric parts of the data. The approach is also extended to the case in which data are presumed to be linearly related to squared distances. Examples of several models are provided, using journal citation data. Possible extensions of the models are considered.
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Reference Notes
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This research was supported in part by USPHS Grant 0A01070, P. M. Bentler, principal investigator, and NIMH Grant MH-24819, E. J. Anthony and J. Worland, principal investigators.
The authors wish to thank E. W. Holman and several anonymous reviewers for their valuable suggestions concerning this research.
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Weeks, D.G., Bentler, P.M. Restricted multidimensional scaling models for asymmetric proximities. Psychometrika 47, 201–208 (1982). https://doi.org/10.1007/BF02296275
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DOI: https://doi.org/10.1007/BF02296275