Measurement system analysis for bounded ordinal data

J. de Mast, W.N. van Wieringen

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22 Citations (Scopus)


The precision of a measurement system is the consistency across multiple measurements of the same object. This paper studies the evaluation of the precision of measurement systems that measure on a bounded ordinal scale. A bounded ordinal scale consists of a finite number of categories that have a specific order. Based on an inventory of methods for the evaluation of precision for other types of measurement scales, the article proposes two approaches. The first approach is based on a latent variable model and is a variant of the intraclass correlation method. The second approach is a non-parametric approach, the results of which are, however, rather difficult to interpret. The approaches are illustrated with an artificial data set and an industrial data set.

Original languageUndefined/Unknown
Pages (from-to)383-395
Number of pages13
JournalQuality and Reliability Engineering International
Issue number5
Publication statusPublished - 1 Aug 2004


  • Attribute data
  • Gauge R&R study
  • Intraclass correlation coefficient
  • Kappa method

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