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Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features. (English) Zbl 0354.92048

MSC:
91E99 Mathematical psychology
62P15 Applications of statistics to psychology
Software:
KYST
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References:
[1] Bloxom, B.Individual differences in multidimensional scaling (Research Bulletin 68-45). Princeton, N. J.: Educational Testing Service, 1968.
[2] Carroll, J. D. & Chang, J. J.IDIOSCAL (Individual Differences in Orientation Scaling). Paper presented at the Spring meeting of the Psychometric Society, Princeton, N. J., April, 1972.
[3] Carroll, J. D. & Chang, J. J.Some methodological advances in INDSCAL. Paper presented at the Spring meeting of the Psychometric Society, Stanford, California, April, 1974.
[4] de Leeuw, J.Canonical discriminant analysis of relational data (Research Bulletin RB004-75). Leiden, The Netherlands: Datatheorie, University of Leiden, 1975.
[5] de Leeuw, J.An initial estimate for INDSCAL. Unpublished note, 1974.
[6] de Leeuw, J.The positive orthant method for nonmetric multidimensional scaling (Research Note RN 001-70). Leiden, TheN etherlands: Datatheorie, University of Leiden, 1970.
[7] de Leeuw, J. & Pruzansky,Ŝ.A new computational method to fit the weighted Euclidean model (SUMSCAL). Unpublished notes, Bell Laboratories, 1975.
[8] Gill, P. E. & Murray, W.Two methods for the solution of linearly constrained and unconstrained optimization problems (NPL Report NAC 25). Teddington, England: National Physics Laboratory, November, 1972.
[9] Guttman, L.Smallest space analysis by the absolute value principle. Paper presented at the symposium on ”Theory and practice of measurement” at the Nineteenth International Congress of Psychology, London, 1969.
[10] Harshman, R. A.Foundations of the PARAFAC procedure: Models and conditions for an explanatory multi-modal factor analysis (Working Papers in Phonetics No. 16). Los Angeles: University of California, 1970.
[11] Horst, P.The prediction of personal adjustment (Bulletin 48). New York: The Social Science Research Council, 1941.
[12] Jacobowitz, D.The acquisition of semantic structures. Unpublished doctoral dissertation, University of North Carolina, 1975.
[13] Jones, L. E. & Wadington, J.Sensitivity of INDSCAL to simulated individual differences in dimension usage patterns and judgmental error. Paper delivered at the Spring meeting of the Psychometric Society, Chicago, April, 1973.
[14] Kruskal, J. B., Young, F. W., & Seery, J. B.How to use KYST, a very flexible program to do multidimensional scaling and unfolding. Unpublished manuscript, Bell Laboratories, 1973.
[15] Obenchain, R.Squared distance scaling as an alternative to principal components analysis. Unpublished notes, Bell Laboratories, 1971.
[16] Roskam, E. E.Data theory and algorithms for nonmetric scaling (parts 1 and 2). Unpublished manuscript, Catholic University, Nijmegen, The Netherlands, 1969.
[17] Yates, A.Nonmetric individual-differences multidimensional scaling with balanced least squares monotone regression. Paper presented at the Spring meeting of Psychometric Society, Princeton, N. J., April, 1972.
[18] Young, F. W.Polynomial conjoint analysis: Some second order partial derivatives (L. L. Thurstone Psychometric Laboratory Report, No. 108). Chapel Hill, North Carolina: The L. L. Thurstone Psychometric Laboratory, July, 1972.
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