Skip to main content
Log in

Analyzing Ordinal Data for Group Representation

  • Published:
Group Decision and Negotiation Aims and scope Submit manuscript

Abstract

With n individuals ranking m objects, the exhaustive comparison approach, proposed in this paper, produces a list of order vectors sorted by the relative number of concordant pairs. The exhaustive comparison approach compares all possible order vectors instead of "an" optimal order vector to help the data analyst to consider "practical" solutions rather than a "desired" solution. An overall concordant order ratio is proposed to measure "how well" each order vector may represent the ranking structure of an ordinal data set. And the marginal concordant ratio evaluating the goodness of fit of each object in each order vector is also proposed in this paper. Comparisons among some popular ranking methods are discussed in this article. An empirical survey data regarding how travellers considered various factors for choosing travelling locations are used to illustrate the proposed method and calculations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Arrow J. K. (1963). Social Choice and Individual Values. 2nd ed. New Haven: Yale University Press.

    Google Scholar 

  • Borda, L. C. (1781). “Mémoire sur les tlections au scrutin”, Mémoires de l'Académie Royale des Sciences.

  • Cook, W. D. and L. M. Seiford. (1982). “The Borda-Kendal Consensus Method for Priority Ranking Problem”, Management Science 6, 621–637.

    Google Scholar 

  • Cook, W. D. and L. M. Seiford. (1978), “Priority Ranking and Consensus Formation”, Management Science 16, 1721–1732.

    Google Scholar 

  • Diaconis, P. (1988). Group Representations in Probability and Statistics. Hayward: Institute of Mathematical Statistics.

    Google Scholar 

  • Fechner, G. T. (1860). Elemente der Psychophysik. Leipzig: Breitkopf und Härtel.

    Google Scholar 

  • Hildebrand, D. K., J. D. Laing and H. Rosenthal. (1977). Analysis of Ordinal Data. Sage, University Paper series on Quantitative Applications in the Social Science. 07-008. Beverly Hills and London: Sage Publications.

    Google Scholar 

  • Johnson R. A. and D. W. Wichern. (1992). Applied Multivariate Statistical Analysis. 3rd ed. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Kendall, M. G. (1962). Rank Correlation Methods. 3rd ed. New York: Hafner.

    Google Scholar 

  • Kendall, M. G. and B. B. Smith. (1940). “On the Method of Paired Comparisons”, Biometrika 31, 324–345.

    Google Scholar 

  • Kruskal, W. H. (1982). “Ordinal Measures of Association”. Journal of the American Statistical Association 53, 814–861.

    Google Scholar 

  • Lansdowne Z. F. (1996). “Ordinal Ranking Methods for Multicriterion Decision Making”, Naval Research Logistics 43, 613–627.

    Google Scholar 

  • Marden, J. I. (1995). Analyzing and Modeling Rank Data. New York: Chapman & Hall.

    Google Scholar 

  • Riker, H. W. (1982). Liberalism Against Populism. San Francisco: W.H. Freeman and Company.

    Google Scholar 

  • Rodrigues, O. (1839). Louiville Journal of Mathematics 4, 236.

    Google Scholar 

  • Taiwan Tourism Bureau. (1996). Survey Report on R.O.C. Domestic Tourism for 1995 (Chinese).

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chang, W.C., Chu, PY., Ding, C.G. et al. Analyzing Ordinal Data for Group Representation. Group Decision and Negotiation 9, 47–61 (2000). https://doi.org/10.1023/A:1008744805975

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1023/A:1008744805975

Navigation