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MULTIDIMENSIONAL SCALING WITH A PRIORI DIMENSIONS
Author(s) -
Waern Yvonne
Publication year - 1972
Publication title -
scandinavian journal of psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.743
H-Index - 72
eISSN - 1467-9450
pISSN - 0036-5564
DOI - 10.1111/j.1467-9450.1972.tb00066.x
Subject(s) - multidimensional scaling , scaling , a priori and a posteriori , oblique case , similarity (geometry) , component analysis , component (thermodynamics) , multidimensional analysis , mathematics , dimensional modeling , statistical physics , psychology , statistics , artificial intelligence , computer science , geometry , data mining , physics , image (mathematics) , philosophy , linguistics , epistemology , thermodynamics
W aern Y. Multidimensional scaling with a priori dimensions. Scand. J. Psychol., 1972, 13 , 178–189.—This paper presents a method of multidimensional scaling by direct similarity estimates. The method is presented as an alternative to other multidimensional scaling methods, when hypotheses can be made concerning the dimensions underlying the perceptual variation. The method is used with five different sets of stimuli and compared, to an as to dimensions assumption‐free component analysis, based on a vector model. The two methods resulted in similar configurations in most cases. One difference was found in a colour material, where the assumed dimensions could be regarded not to be orthogonal to each other. Here the a priori scaling revealed the assumed configuration as projected on the oblique axes whereas the component analysis could not give this information.