Is harmonisation of performance assessment in non-quantitative proficiency testing possible/necessary?

Tiikkainen, Ulla; Ciaralli, Laura; Laurent, Caroline; Obkircher, Markus; Patriarca, Marina; Robouch, P.; Sarkany, Erika

doi:10.1007/s00769-021-01492-6

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…The standardized statistical techniques for corresponding experiment design and treatment of quantitative continuous data are mostly based on the analysis of variance (ANOVA). At the same time, statistical techniques for interlaboratory comparisons of qualitative (nominal) and semi-quantitative (ordinal) properties of a substance, material, or object are less studied and not harmonized (Tiikkainen et al 2022).…”

Section: Graphical Abstract Introductionmentioning

confidence: 99%

Interlaboratory comparison of the intensity of drinking water odor and taste by two-way ordinal analysis of variation without replication

Gadrich

Kuselman

Pennecchi

et al. 2022

Journal of Water and Health

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A case study of ordinal data from human organoleptic examination (sensory analysis) of drinking water obtained in an interlaboratory comparison of 49 ecological laboratories is described. The recently developed two-way ordinal analysis of variation (ORDANOVA) is applied for the first time for the treatment of responses on the intensity of chlorine and sulfurous odor of water at 20 and 60 °C, which is classified into the six categories from ‘imperceptible’ to ‘very strong’. The one-way ORDANOVA is used for the analysis of the ‘salty taste’ intensity of the water. A decomposition of the total variation of the ordinal data and simulation of the multinomial distribution of the data-relative frequencies in different categories allowed the determination of the statistical significance of the difference between laboratories in classifying chlorine or sulfurous odor intensity by categories, while the effect of temperature was not significant. No statistical difference was found between laboratories on salty taste intensity. The capabilities of experts to identify different categories of the intensity of the odor and taste are also evaluated. A comparison of the results obtained with ORDANOVA and ANOVA showed that ORDANOVA is a more useful and reliable tool for understanding categorical data such as the intensity of drinking water odor and taste.

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Section: Graphical Abstract Introductionmentioning

confidence: 99%