Subjective geographic distance: A multidimensional comparison
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The interdistances between thirteen places situated in different parts of the world were estimated by 60 subjects. The estimates were analysed by Kruskal's multidimensional technique and, after a cosine transformation, by factor analysis. It was found that both methods yielded the same three-dimensional solution. Also a two-dimensional configuration could describe the data, and it was shown that this configuration contained representations of unidimensional ratings obtained in other studies.
KeywordsMultidimensional Scaling Emotional Involvement Subjective Distance Elastic Distance Unidimensional Scaling
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- Bratfisch, O. and Lundberg, U. Subjective distance and emotional involvement: Experimental validation of the inverse square root law.Reports from the Psychological Laboratories, The University of Stockholm, 1971, No. 332.Google Scholar
- Dornič, S. Subjective distance and emotional involvement: A verification of the exponent invariance.Reports from the Psychological Laboratories, The University of Stockholm, 1967, No. 237.Google Scholar
- Ekman, G. Comparative studies on multidimensional scaling and related techniques.Reports from the Psychological Laboratories, The University of Stockholm, 1970, Suppl. 3.Google Scholar
- Ekman, G. and Bratfisch, O. Subjective distance and emotional involvement: A psychological mechanism.Acta Psychologica, 1965,24, 446–453.Google Scholar
- Harman, H. H.Modern factor analysis. Chicago: Univ. Chicago Press, 1967.Google Scholar
- McGee, V. E. Multidimensional analysis of ‘elastic distances’.British Journal of Mathematical and Statistical Psychology, 1966,19, 181–196.Google Scholar
- Roskam, E. and Lingoes, J. MINISSA-1, a FORTRAN IV (G) program for smallest space analysis of square symmetric matrices.Behavioral Science, 1970,15, 204–205.Google Scholar
- Shepard, R. N. and Carroll, J. D. Parametric representation of nonlinear data structures. In P. R. Krishnaiah (Ed.),Multivariate analysis. International symposium (Dayton, Ohio, 1965). Proceedings. New York & London, 1966.Google Scholar
- Torgerson, W. S.Theory and methods of scaling. New York: Wiley, 1958.Google Scholar
- Veldman, D. J.FORTRAN programming for the behavioral sciences. New York: Holt, 1967.Google Scholar