Luiz Henrique da Conceição Leal, Fernando Gustavo Marques Violante, Lucas Junqueira de Carvalho, Bruno Carius Garrido, Eliane Cristina Pires do Rego, Gabriel Fonseca Sarmanho, Werickson Fortunato de Carvalho Rocha
{"title":"A new methodology for proficiency testing scheme interpretation based on residual analysis","authors":"Luiz Henrique da Conceição Leal, Fernando Gustavo Marques Violante, Lucas Junqueira de Carvalho, Bruno Carius Garrido, Eliane Cristina Pires do Rego, Gabriel Fonseca Sarmanho, Werickson Fortunato de Carvalho Rocha","doi":"10.1007/s00769-022-01522-x","DOIUrl":null,"url":null,"abstract":"<div><p>Proficiency testing schemes by interlaboratory comparisons are used to determine the performance of individual laboratories for specific tests or measurements. The international standard ISO 13528:2015 provides a description of statistical methods used for achieving this goal; one of these methods is the <i>z</i> score. The standard allows each participant to choose a measurement method and this can lead to inhomogeneity between participant variance known as heteroscedasticity. The ISO 13528:2015 standard does not mention heteroscedasticity in its statistical procedures. This paper describes a new approach, based on residuals analysis, to assess the performance of an interlaboratory comparison for determining the presence of benzoic acid in orange juice. The results indicate that the conclusions (using <i>z</i> scores) and the proposed approach are different for some laboratories. This occurs due to violation of the homoscedasticity assumption. The <i>z</i> score procedure does not consider this assumption violation while residual analysis can provide such information. Feasible generalized least squares allow one to deal with non-homoscedasticity.\n</p></div>","PeriodicalId":454,"journal":{"name":"Accreditation and Quality Assurance","volume":"27 6","pages":"349 - 357"},"PeriodicalIF":0.8000,"publicationDate":"2022-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accreditation and Quality Assurance","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s00769-022-01522-x","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 2
Abstract
Proficiency testing schemes by interlaboratory comparisons are used to determine the performance of individual laboratories for specific tests or measurements. The international standard ISO 13528:2015 provides a description of statistical methods used for achieving this goal; one of these methods is the z score. The standard allows each participant to choose a measurement method and this can lead to inhomogeneity between participant variance known as heteroscedasticity. The ISO 13528:2015 standard does not mention heteroscedasticity in its statistical procedures. This paper describes a new approach, based on residuals analysis, to assess the performance of an interlaboratory comparison for determining the presence of benzoic acid in orange juice. The results indicate that the conclusions (using z scores) and the proposed approach are different for some laboratories. This occurs due to violation of the homoscedasticity assumption. The z score procedure does not consider this assumption violation while residual analysis can provide such information. Feasible generalized least squares allow one to deal with non-homoscedasticity.
期刊介绍:
Accreditation and Quality Assurance has established itself as the leading information and discussion forum for all aspects relevant to quality, transparency and reliability of measurement results in chemical and biological sciences. The journal serves the information needs of researchers, practitioners and decision makers dealing with quality assurance and quality management, including the development and application of metrological principles and concepts such as traceability or measurement uncertainty in the following fields: environment, nutrition, consumer protection, geology, metallurgy, pharmacy, forensics, clinical chemistry and laboratory medicine, and microbiology.