When a reference value for the measurand in an interlaboratory study is unknown, the laboratory results may be used to estimate/build a consensus value instead of a reference value. Since no algebraic operations and mathematical functions exist among categorical (nominal and ordinal) values, a numerical consensus value cannot be formulated. Consensus of responses of experts of different laboratories participating in an interlaboratory comparison, classifying a substance, material, or object according to its nominal and ordinal characteristics, could be interpreted as the degree to which the experts agree. Two-way factorial analysis of variation of nominal variables CATANOVA and of ordinal variables ORDANOVA answer the question ‘is a consensus of participating laboratories achieved or not?’ The answer is based on testing hypotheses about homogeneity of the between- and within-laboratory variation components, as well as the variation components caused by other factors under study.

Interlaboratory comparison of categorical characteristics of a substance, material, or object / Kuselman, Ilya; Gadrich, Tamar; Pennecchi, Francesca R.; Hibbert, D. Brynn; Semenova, Anastasia A.; Botha, Angelique. - (2025), pp. 149-154. ( Joint conference of the TCs ‘Traceability in Metrology’ (IMEKO TC8), ‘Measurement in Testing, Inspection and Certification’ (IMEKO TC11), and ‘Chemical Measurements’ (IMEKO TC24). Torino, Italy September 14-17, 2025) [10.21014/tc8-2025.029].

Interlaboratory comparison of categorical characteristics of a substance, material, or object

Pennecchi, Francesca R.;
2025

Abstract

When a reference value for the measurand in an interlaboratory study is unknown, the laboratory results may be used to estimate/build a consensus value instead of a reference value. Since no algebraic operations and mathematical functions exist among categorical (nominal and ordinal) values, a numerical consensus value cannot be formulated. Consensus of responses of experts of different laboratories participating in an interlaboratory comparison, classifying a substance, material, or object according to its nominal and ordinal characteristics, could be interpreted as the degree to which the experts agree. Two-way factorial analysis of variation of nominal variables CATANOVA and of ordinal variables ORDANOVA answer the question ‘is a consensus of participating laboratories achieved or not?’ The answer is based on testing hypotheses about homogeneity of the between- and within-laboratory variation components, as well as the variation components caused by other factors under study.
2025
Joint conference of the TCs ‘Traceability in Metrology’ (IMEKO TC8), ‘Measurement in Testing, Inspection and Certification’ (IMEKO TC11), and ‘Chemical Measurements’ (IMEKO TC24).
September 14-17, 2025
Torino, Italy
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11696/88830
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