2016
DOI: 10.18778/0208-6018.322.06
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The Presentation of Changes in Preferences by Dynamic Scaling

Abstract: Dynamic scaling is a set of methods in which the geometrical representation of the similarity data for T different time periods is made. This article presents the use of two-dynamic scaling methods for studying changes in the preferences. In the first method the location of points on the perceptual map is made on the basis of the super-dissimilarity matrix. In the second method multidimensional scaling for the respective periods is carried out and the obtained configurations are matched by transformati… Show more

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“…The study involved 109 students who regularly participated in activities within a definite period of time (see Zaborski, 2016). As a result of multidimensional scaling based on the dissimilarity matrix, the configuration of points representing activities was obtained ( Figure 2).…”
Section: The Assessment Of the Impact Of Tetrads Choice On Multidimenmentioning
confidence: 99%
“…The study involved 109 students who regularly participated in activities within a definite period of time (see Zaborski, 2016). As a result of multidimensional scaling based on the dissimilarity matrix, the configuration of points representing activities was obtained ( Figure 2).…”
Section: The Assessment Of the Impact Of Tetrads Choice On Multidimenmentioning
confidence: 99%