Multidimensional unfolding analyses of ranking data for groups

Japanese Psychological Research

Volumn 40, Issue 3, 1998, Pages 166-171

  Hojo, Hiroshi ^a  

^a NONE   (Japan)

Author keywords

Marginal maximum likelihood estimation; Preferences; Ranking data; Unfolding

Indexed keywords

EID: 0032286250     PISSN: 00215368     EISSN: None     Source Type: Journal    
DOI: 10.1111/1468-5884.00088     Document Type: Article

References (6)

1. Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716-723.
2. Coombs, C. H. (1964). A theory of data. New York: Wiley.
3. De Soete, G., Carroll, J. D., & DeSarbo, W. S. (1986). The wandering ideal point model: A probabilistic multidimensional unfolding model for paired comparisons data. Journal of Mathematical Psychology, 30, 28-41.
4. Hojo, H. (1997). A marginalization model for the multidimensional unfolding analysis of ranking data. Japanese Psychological Research, 39, 33-42.
5. Takane, Y. (1983). Choice model analysis of the "pick any/n" type of binary data. Handout for the talk given at the European Psychometric and Classification Meeting, Jouy-en-Josas.
6. Takane, Y., & Carroll, J. D. (1981). Nonmetric maximum likelihood multidimensional scaling from directional rankings of similarities. Psychometrika, 46, 389-405.