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The Use of Indices in Surveys

Author

Listed:
  • Maravelakis, Petros
  • Perakis, Michael
  • Psarakis, Stelios
  • Panaretos, John

Abstract

The paper deals with some new indices for ordinal data that arise from sample surveys. Their aim is to measure the degree of concentration to the “positive” or “negative” answers in a given question. The properties of these indices are examined. Moreover, methods for constructing confidence limits for the indices are discussed and their performance is evaluated through an extensive simulation study. Finally, the values of the indices defined and their confidence intervals are calculated for an example with real data

Suggested Citation

  • Maravelakis, Petros & Perakis, Michael & Psarakis, Stelios & Panaretos, John, 2003. "The Use of Indices in Surveys," MPRA Paper 6388, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:6388
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    File URL: https://mpra.ub.uni-muenchen.de/6388/1/MPRA_paper_6388.pdf
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    Cited by:

    1. 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.
    2. Rainer Göb & Christopher McCollin & Maria Ramalhoto, 2007. "Ordinal Methodology in the Analysis of Likert Scales," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(5), pages 601-626, October.

    More about this item

    Keywords

    Multinomial proportions; Ordinal data; Indices; Confidence intervals; Sample surveys;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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