Abstract
Although some measurements can be made on any scale (including a continual scale), cost and speed considerations sometimes tip the scales toward using ordinal measurements. This paper presents a way to evaluate classical metrological characteristics, such as error, uncertainty and precision of single and repeated measurements based on the legitimate basic operations for ordinal data. The only legitimate measurement operations among ordinal variables are limited to equal or greater than/less than, the usual assessment measures such as average, standard deviation cannot be applied. Consequently, in order to receive reliable results and draw valid conclusions from ordinal measurements it is essential to develop and use only the appropriate methods.
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References
Cecconi P, Franceschini F, Galetto M (2006) Measurements, evaluations and preferences: a scheme of classification according to the representational theory. Measurement 39(1):1–11
Franceschini F, Galetto M, Varetto M (2005) Ordered samples control charts for ordinal variables. Qual Reliab Eng Int 21:177–195
Blair J, Lacy MG (2000) Statistics of ordinal variation. Sociol Methods Res 28:251–280
Bashkansky E, Dror S, Ravid R, Grabov P (2007) Effectiveness of a product quality classifier. Qual Eng 19(3):235–244
Bashkansky E, Gadrich T (2008) Evaluating quality measured on a ternary ordinal scale. Qual Reliab Eng Int 24:957–971
ISO/IEC GUIDE 99 (2007) International vocabulary of metrology—basic and general concepts and associated terms (VIM): 1.26
Price G, De Bièvre P (2009) Simple principles for metrology in chemistry: identifying and counting. Accred Qual Assur 14:295–305
Borror CM (2007) Measurement systems analysis, attribute. In: Ruggeri F, Kenett R, Faltin FW (eds) Encyclopedia of statistics in quality and reliability. Wiley, Chichester, pp 1065–1070
van Wieringen WN, de Mast J (2008) Measurement system analysis for binary data. Technometrics 50(4):468–478
de Mast J (2007) Agreement and kappa type indices. Am Stat 61(2):148–153
de Mast J, van Wieringen WN (2007) Measurement system analysis for categorical measurements: agreement and kappa type indices. J Qual Technol 39(3):191–202
de Mast J, Trip A (2005) Gauge R&R studies for destructive measurements. J Qual Technol 37(1):40–49
de Mast J, van Wieringen WN (2004) Measurement system analysis for bounded ordinal data. Qual Reliab Eng Int 20:383–395
Stevens SS (1946) On the theory of scales of measurement. Science 103(2684):677–680
Petersen PH, Sandberg S, Fraser CS, Goldschmidt H (2000) A model for setting analytical quality specifications and design of control for measurements on the ordinal scale. Clin Chem Lab Med 38(6):545–551
Nist/Sematech (2003) e-Handbook of statistical methods. U.S. Commerce Department’s Technology Administration. http://www.itl.nist.gov/div898/handbook/
Ben-Gal I, Herer TY, Raz T (2002) Self-correcting inspection procedure under inspection errors. IIE Trans 34(6):529–540
Samuel WE (2003) Attribute gage R&R. Six Sigma Forum Mag 2(4):23–28
Acknowledgments
The authors are very grateful to the anonymous reviewers for their fruitful and important remarks that helped us to improve the paper. We are also very grateful to Dr. Ilya Kuselman, The National Physical Laboratory of Israel which inspired us to write this article.
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Bashkansky, E., Gadrich, T. Some metrological aspects of ordinal measurements. Accred Qual Assur 15, 331–336 (2010). https://doi.org/10.1007/s00769-009-0620-x
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DOI: https://doi.org/10.1007/s00769-009-0620-x