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The Use of the Incomplete Tetrad Method for Measuring the Similarities in Nonmetric Multidimensional Scaling

Zaborski Artur ()
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Zaborski Artur: Wroclaw University of Economics, Faculty of Economics and Finance, Chair of Econometrics and Computer Science, Nowowiejska 3, 58-500Jelenia Góra, Poland

Folia Oeconomica Stetinensia, 2020, vol. 20, issue 1, 519-530

Abstract: Research background: So far, many methods of direct measurement of similarity in multidimensional scaling have been developed (e.g. ranking, sorting, pairwise comparison and others). The method selection affects the subjective feelings of the respondents, i.e. fatigue, weariness resulting from making numerous assessments, or difficulties in expressing similarity assessments.

Keywords: measurement of similarities; method of tetrads; nonmetric multidimensional scaling (search for similar items in EconPapers)
JEL-codes: C38 C63 M31 (search for similar items in EconPapers)
Date: 2020
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