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Ordinal Data

  • Dario Basso
  • Fortunato Pesarin
  • Luigi Salmaso
  • Aldo Solari
Chapter
Part of the Lecture Notes in Statistics book series (LNS, volume 194)

A categorical variable has a measurement scale consisting of a set of categories. Categorical variables that have ordered categories are called ordinal (Agresti, 2002). They appear, for example, whenever the condition of a patient cannot be measured by a metric variable and has to be classified or rated as “critical”, “serious”, “fair”, or “good”. The measurements on ordered categorical scales can be ordered by size, but the scales lack any algebraic structure; that is, the distances between categories are unknown. Although a patient categorized as “fair” is more healthy than a patient categorized as “serious”, no numerical value describes how much more healthy that patient is.

Keywords

Glasgow Outcome Scale Ordinal Data Adaptive Test Global Null Hypothesis Intersection Hypothesis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York 2009

Authors and Affiliations

  • Dario Basso
    • 1
  • Fortunato Pesarin
    • 2
  • Luigi Salmaso
    • 1
  • Aldo Solari
    • 2
  1. 1.Università di PadovaDipto. Tecnica e Gestione dei Sistemi IndustrialiItaly
  2. 2.Università PadovaDipto. Scienze StatistichePadovaItaly

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