Open AccessINDIVIDUAL DIFFERENCES IN MULTIDIMENSIONAL SCALING *
Author(s) -
Bloxom Bruce
Publication year - 1968
Publication title -
ets research bulletin series
Language(s) - English
Resource type - Journals
eISSN - 2333-8504
pISSN - 0424-6144
DOI - 10.1002/j.2333-8504.1968.tb00567.x
Subject(s) - multidimensional scaling , scaling , computer science , space (punctuation) , formal description , mathematics , machine learning , geometry , operating system , programming language
Applications of Tucker and Messick's model of individual differences in multidimensional scaling have suggested the occasional appropriateness of a refinement of that model. The refinement is to consider just one multidimensional stimulus space for all persons (or sets of persons) and with each person having a “weight” for each axis. This paper presents a formal description of this model and a least squares solution for its parameters. The solution has yet to be tested empirically.