The Use of the Incomplete Tetrad Method for Measuring the Similarities in Nonmetric Multidimensional Scaling
References
- Bijmolt, T.H.A. (1996). Multidimensional Scaling in Marketing: Towards Integrating Data Collection and Analysis. Capelle a/d Ussel: Labyrint Publication.
- Bisset, R., Schneider, B. (1991). Spatial and conjoint models based on pairwise comparisons of dissimilarities and combined effects: Complete and incomplete designs. Psychometrika, 56 (4), 685–698. DOI: 10.1007/BF02294499.10.1007/BF02294499
- Borg, I., Groenen, P. (2005). Modern Multidimensional Scaling. Theory and Applications. Second Edition. New York: Springer-Verlag.
- Cochran, W.G., Cox, G.M. (1957). Experimental Design. 2nd ed. New York: Wiley.
- Cox, T.F., Cox, M.A.A. (2001). Multidimensional Scaling. Second Edition. London: Chapman and Hall.
- Graef, J., Spence, I. (1979). Using distance information in the design of large multidimensional experiments. Psychological Bulletin, 86 (1), 60–66. DOI: 10.1037//0033-2909.86.1.60.10.1037/0033-2909.86.1.60
- Kruskal, J.B. (1964a). Multidimensional scaling by optimising goodness of fit to a nonmetric hypothesis. Psychometrika, 29, 1–27. DOI: 10.1007/BF02289565.10.1007/BF02289565
- Kruskal, J.B. (1964b). Nonmetric Multidimensional Scaling: a Numerical Method. Psychometrika, 29, 115–129. DOI: 10.1007/BF02289694.10.1007/BF02289694
- Humphreys, M.A. (1982). Data collecting effects on nonmetric multidimensional scaling solutions. Educational and Psychological Measurement, 42, 1005–1022. DOI: 10.1177/001316448204200408.10.1177/001316448204200408
- Morris, M. (2010). Design of Experiments: An Introduction Based on Linear Models. New York: Chapman and Hall/CRC.10.1201/9781439894903
- Rink, D.R. (1987). An improved preference data collection method: Balanced incomplete block designs. Journal of the Academy of Marketing Science, 15 (3), 54–61. DOI: 10.1007/BF02721954.10.1007/BF02721954
- Spence, I., Domoney, D.W. (1974). Single subject incomplete design for nonmetric multidimensional scaling. Psychometrika, 39 (4), 469–490. DOI: 10.1007/BF02291669.10.1007/BF02291669
- Tsogo, L., Masson, M.H., Bardot, A. (2000). Multidimensional Scaling Methods for Many-Object Sets: A Review, Multivariate Behavioral Research, 35 (3), 307–319. DOI: 10.1207/S15327906MBR3503_02.10.1207/S15327906MBR3503_02
- Zaborski, A. (2001). Skalowanie wielowymiarowe w badaniach marketingowych. Wrocław: Wydawnictwo Akademii Ekonomicznej we Wrocławiu.
- Zaborski, A. (2003). Wpływ alternatywnych metod pomiaru preferencji na wyniki skalowania wielowymiarowego. Prace Naukowe AE w Katowicach, Analiza i prognozowanie zjawisk o charakterze niemetrycznym, 59–69.
- Zaborski, A. (2016). The Presentation of Changes in Preferences by Dynamic Scaling. Acta Universitatis Lodziensis. Folia Oeconomica 3 (322), 55–62. DOI: 10.18778/0208-6018.322.06.10.18778/0208-6018.322.06
- Zaborski, A. (2017). The Influence of Triad Selection on the Preference Scaling Results. Acta Universitatis Lodziensis. Folia Oeconomica, 4 (330), 87–97. DOI: 10.18778/0208-6018.330.06.10.18778/0208-6018.330.06
Language: English
Page range: 519 - 530
Submitted on: Nov 8, 2019
Accepted on: Mar 19, 2020
Published on: Aug 20, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
Related subjects:
© 2020 Artur Zaborski, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.