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On Certain Indices for Ordinal Data with Unequally Weighted Classes

Author

Listed:
  • M. Perakis
  • P. Maravelakis
  • S. Psarakis
  • E. Xekalaki
  • J. Panaretos

Abstract

In this paper, some new indices for ordinal data are introduced. These indices have been developed so as to measure the degree of concentration on the “small” or the “large” values of a variable whose level of measurement is ordinal. Their advantage in relation to other approached is that they ascribe unequal weights to each class of values. Although, they constitute a useful tool in various fields of applications, the focus here is on their use in sample surveys and more specifically in situations where one is interested in taking into account the “distance” of the responses from the “neutral” category in a given question. The properties of these indices are examined and methods for constructing confidence intervals for their actual values are discussed. The performance of these methods is evaluated through an extensive simulation study
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Suggested Citation

  • M. Perakis & P. Maravelakis & S. Psarakis & E. Xekalaki & J. Panaretos, 2005. "On Certain Indices for Ordinal Data with Unequally Weighted Classes," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(5), pages 515-536, October.
    • Handle: RePEc:spr:qualqt:v:39:y:2005:i:5:p:515-536
    DOI: 10.1007/s11135-005-1611-6
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    References listed on IDEAS

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    1. P. Maravelakis & M. Perakis & S. Psarakis & J. Panaretos, 2003. "The Use of Indices in Surveys," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(1), pages 1-19, February.
    2. Raffaella Piccarreta, 2001. "A new measure of nominal-ordinal association," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(1), pages 107-120.
    3. R. G. D. Allen, 1975. "Index Numbers in Theory and Practice," Palgrave Macmillan Books, Palgrave Macmillan, number 978-1-349-02312-7, October.
    4. Willem F.M. de Vries, 2001. "Meaningful Measures: Indicators on Progress, Progress on Indicators," International Statistical Review, International Statistical Institute, vol. 69(2), pages 313-331, August.
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    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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