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A proposal for handling ordinal categorical variables in co-inertia analysis

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  • Antonio Lucadamo
  • Pietro Amenta

Abstract

This paper is about the problem of the treatment of ordinal qualitative variables in co-inertia analysis. In the literature, there are different proposals based on the application of known statistical techniques to quantify ordinal variables. Here we propose to use a new procedure for the coding considering the empirical distributions of the variables involved in the analysis. We present an application to a real dataset, comparing the results obtained with the different kinds of quantification.

Suggested Citation

  • Antonio Lucadamo & Pietro Amenta, 2015. "A proposal for handling ordinal categorical variables in co-inertia analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(12), pages 2631-2638, December.
    • Handle: RePEc:taf:japsta:v:42:y:2015:i:12:p:2631-2638
    DOI: 10.1080/02664763.2015.1044426
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    References listed on IDEAS

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    1. John Geer, 1984. "Linear relations amongk sets of variables," Psychometrika, Springer;The Psychometric Society, vol. 49(1), pages 79-94, March.
    2. Ledyard Tucker, 1958. "An inter-battery method of factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(2), pages 111-136, June.
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    Cited by:

    1. Antonello D’Ambra & Pietro Amenta & Anna Crisci & Antonio Lucadamo, 2022. "The generalized Taguchi’s statistic: a passenger satisfaction evaluation," METRON, Springer;Sapienza Università di Roma, vol. 80(1), pages 41-60, April.
    2. Lucadamo, Antonio & Camminatiello, Ida & D'Ambra, Antonello, 2021. "A statistical model for evaluating the patient satisfaction," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).

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