Selecting Statistics
Statistical Test
Three-way non-metric multidimensional scaling techniques
Statistical Measure
(none)
Notes
Kruskal, J. B., and Wish, M. Multidimensional Scaling. Beverly Hills, California: Sage, 1978. p. 60 (General)Carroll, J. D., and Chang, J. J. Analysis of individual differences in multidimensional scaling via an N-way generalization of Eckart-Young decomposition. Psychometrika 35 (1970): 283-319. (INDSCAL)
Harshman, R. A. PARAFAC: Foundations of the PARAFAC procedure models and conditions for an 'explanatory' multi-model factor analysis. Working papers in phonetics 16. Los Angeles: University of California at Los Angeles, 1970. (PARAFAC)
Lingoes, J. C., and Borg, I. Procrustean individual difference scaling. Journal of Marketing Research 13 (1976): 406-407. (PINDIS)
Carroll, J. D.; Pruzansky, S.; and Kruskal, J. B. CANDELINC: a general approach to multidimensional analysis of many-way arrays with linear constraints on parameters. Psychometrika 45 (1980): 3-24. (CANDELINC)
Ramsay, J. O. Maximum likelihood estimation in multidimensional scaling. Psychometrika 42 (1977): 241-266. (MULTISCAL)
Takane, Y.; Young, F. W.; and DeLeeuw, J. Nonmetric individual differences multidimensional scaling: an alternating least squares method with optimal scaling features. Psychometrika 42 (1977): 7-67. (ALSCAL)
Sands, R., and Young, F. W. Component models for three-way data: an alternating least squares algorithm with optimal scaling features. Psychometrika 45 (1980): 39-68. (ALSCOMP3)