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

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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)

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.

Suggested Citation

  • Zaborski Artur, 2020. "The Use of the Incomplete Tetrad Method for Measuring the Similarities in Nonmetric Multidimensional Scaling," Folia Oeconomica Stetinensia, Sciendo, vol. 20(1), pages 519-530, June.
    • Handle: RePEc:vrs:foeste:v:20:y:2020:i:1:p:519-530:n:30
    DOI: 10.2478/foli-2020-0030
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    References listed on IDEAS

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    1. Randall Bissett & Bruce Schneider, 1991. "Spatial and conjoint models based on pairwise comparisons of dissimilarities and combined effects: Complete and incomplete designs," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 685-698, December.
    2. J. Kruskal, 1964. "Nonmetric multidimensional scaling: A numerical method," Psychometrika, Springer;The Psychometric Society, vol. 29(2), pages 115-129, June.
    3. J. Kruskal, 1964. "Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis," Psychometrika, Springer;The Psychometric Society, vol. 29(1), pages 1-27, March.
    4. Ian Spence & Dennis Domoney, 1974. "Single subject incomplete designs for nonmetric multidimensional scaling," Psychometrika, Springer;The Psychometric Society, vol. 39(4), pages 469-490, December.
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    More about this item

    Keywords

    measurement of similarities; method of tetrads; nonmetric multidimensional scaling;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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