References
Beals, R., Krantz, D. H., & Tversky, A. (1968). Foundations of multidimensional scaling.Psychological Review, 75, 127–142.
Bentler, P. M., & Weeks, D. G. (1978). Restricted multidimensional scaling methods.Journal of Mathematical Psychology, 17, 138–151.
Bloxom, B. Constrained multidimensional scaling inN spaces. (1978).Psychometrika, 43, 397–408.
Borg, I., & Lingoes, J. C. (1980). A model and algorithm for multidimensional scaling with external constraints on the distances.Psychometrika, 45, 25–38.
Carroll, J. D. (1972). Individual differences and multidimensional scaling. In R. N. Shepard, A. K. Romney, & S. Nerlove (Eds.),Multidimensional scaling: Theory and applications in the behavioral sciences (Vol I). (pp. 105–155). New York & London: Seminar Press.
Carroll, J. D. (1980). Models and methods for multidimensional analysis of preferential choice (or other dominance) data. In E. D. Lantermann & H. Feger (Eds.),Similarity and choice (pp. 234–289). Bern: Hans Huber Publishers.
Carroll, J. D., & Arabie, P. (1980). Multidimensional scaling. In M. R. Rosenzweig & L. W. Porter (Eds.),Annual Review of Psychology, 31, 607–649.
Carroll, J. D., & Chang, J. J. (1973). A method for fitting a class of hierarchical tree structure models to dissimilarities data and its application to some “body parts” data of Miller's.Proceedings of the 81st Annual Convention of the American Psychological Association, 8, 1097–1098.
Carroll, J. D., & Pruzansky, S. (1980). Discrete and hybrid scaling models. In E. D. Lantermann & H. Feger (Eds.),Similarity and choice (pp. 108–139). Bern: Hans Huber.
Carroll, J. D., Pruzansky, S., & Kruskal, J. B. (1980). CANDELINC: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters.Psychometrika, 45, 3–24.
Carroll, J. D., & Wish, M. (1974). Models and methods for three-way multidimensional scaling. In D. H. Krantz, R. C. Atkinson, R. D. Luce, & P. Suppes (Eds.),Contemporary developments in mathematical psychology (Vol. II) (pp. 57–105). San Francisco: Freeman.
Coxon, A. (1982).The user's guide to multidimensional scaling. Exeter, New Hampshire: Heinemann.
Cunningham, J. P. (1978). Free trees and bidirectional trees as representations of psychological distance.Journal of Mathematical Psychology, 17, 165–188.
Davies, P., & Coxon, A. (1982).Key texts on multidimensional scaling. Exeter, New Hampshire: Heinemann.
de Leeuw, J., & Heiser, W. (1980). Multidimensional scaling with restrictions on the configuration. In P. R. Krishnaiah (Ed.),Multivariate analysis, Vol. 5. Amsterdam: North-Holland.
Gower, J. C. (1966). Some distance properties of latent root and vector methods used in multivariate analysis.Biometrika, 53, 325–388.
Green, P. E., & Carmone, F. J. (1970).Multidimensional scaling and related techniques in marketing analysis. Boston: Allyn & Bacon.
Green, P. E., & Rao, V. R. (1972).Applied Multidimensional Scaling: A Comparison of Approaches and Algorithms. New York: Holt, Rinehart & Winston.
Guttman, L. (1968). A general nonmetric technique for finding the smallest coordinate space for a configuration of points.Psychometrika, 33, 465–506.
Heiser, W. J., & DeLeeuw, J. (1979). How to use SMACOF-III. Leiden: Dept. of Datatheory.
Horan, C. B. (1969). Multidimensional scaling: Combining observations when individuals have different perceptual structures.Psychometrika, 34, 139–165.
Krantz, D. H., & Tversky, A. (1975). Similarity of rectangles: An analysis of subjective dimensions.Journal of Mathematical Psychology, 12, 4–34.
Kruskal, J. B. (1964a). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis.Psychometrika, 29, 1–27.
Kruskal, J. B. (1964b). Nonmetric multidimensional scaling: A numerical method.Psychometrika, 29, 115–129.
Kruskal, J. B., & Wish, M. (1978).Multidimensional Scaling. Beverly Hills: Sage.
Kruskal, J. B., Young, F. W., & Seery, J. B. (1977). How to use KYST 2-A: A very flexible program to do multidimensional scaling and unfolding. Unpublished manuscript, Bell Labs, Murray Hill, NJ.
Lingoes, J. C. (1972). A general survey of the Guttman-Lingoes nonmetric program series. In R. N. Shepard, A. K. Romney, & S. B. Nerlove (Eds.),Multidimensional Scaling: Theory and Application in the Behavioral Sciences, Vol. 1: Theory. New York: Seminar.
Ramsay, J. O. (1977). Maximum likelihood estimation in multidimensional scaling.Psychometrika, 42, 241–266.
Ramsay, J. O. (1980). Some small sample results for maximum likelihood estimation in multidimensional scaling.Psychometrika, 45, 139–144.
Richardson, M. W. (1938). Multidimensional psychophysics.Psychological Bulletin, 35, 659–660.
Romney, A. K., Shepard, R. N., & Nerlove, S. B. (1972).Multidimensional Scaling: Theory and Applications in the Behavioral Sciences. Vol. 2: Applications. New York: Seminar.
Roskam, E. E.A documentation of MINISSA (N) (Technical Report 25 MA 15) Nijmegen, The Netherlands: Catholic University, Dept. of Psychology.
Sattath, S., & Tversky, A. (1977). Additive similarity trees.Psychometrika, 42, 319–345.
Schiffman, S. S., Reynolds, M. L., & Young, F. W. (1981).Introduction to multidimensional scaling. New York: Academic Press.
Shepard, R. N. (1962a). Analysis of proximities Multidimensional scaling with an unknown distance function—I.Psychometrika, 27, 125–140.
Shepard, R. N. (1962b). Analysis of proximities: Multidimensional scaling with an unknown distance function—II.Psychometrika, 27, 219–246.
Shepard, R. N. (1974). Representation of structure in similarity data: Problems and prospects.Psychometrika, 39, 373–421.
Shepard, R. N. (1980). Multidimensional scaling, tree-fitting, and clustering.Science, 210, 390–398.
Shepard, R. N., & Arabie, P. (1979). Additive clustering. Representation of similarities as combinations of discrete overlapping properties.Psychological Review, 86, 87–123.
Shepard, R. N., Romney, A. K., & Nerlove, S. B. (1972).Multidimensional Scaling: Theory and Applications in the Behavioral Sciences, Vol. 1: Theory. New York: Seminar.
Takane, Y. (1981). Multidimensional successive-categories scaling: A maximum likelihood method.Psychometrika, 46, 9–28.
Takane, Y., Young, F. W., & DeLeeuw, J. (1977). Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features.Psychometrika, 42, 7–67.
Torgerson, W. S. (1958).Theory and methods of scaling. New York: Wiley.
Tucker, L. R. (1972). Relations between multidimensional scaling and three-mode factor analysis.Psychometrika, 37, 3–28.
Tversky, A. (1977). Features of similarity.Psychological Review, 84, 327–352.
Young, G., & Householder, A. S. (1938). Discussion of a set of points in terms of their mutual distances.Psychometrika, 3, 19–22.
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Carroll, J.D. Review. Psychometrika 50, 133–140 (1985). https://doi.org/10.1007/BF02294154
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DOI: https://doi.org/10.1007/BF02294154