{"title":"Consistency plots: a simple graphical tool for investigating agreement in key comparisons","authors":"Stephen L. R. Ellison","doi":"10.1007/s00769-022-01520-z","DOIUrl":null,"url":null,"abstract":"<div><p>A simple graphical display is described for investigating agreement among interlaboratory data with reported uncertainties. The plot consists of a measure of agreement—the significance level of a test for significant pairwise difference, adjusted for multiple comparisons—plotted as an image in which significance is represented by colour or intensity. This provides an easily interpretable graphical presentation in which the degree of consensus can be judged and in which anomalies are easily visible. The construction of the plot is discussed, with attention to the choice of adjustment for the size of the data set in checking for anomalies. The advantage over visual inspection using error bars is discussed, and some examples from metrology comparisons are presented.</p></div>","PeriodicalId":454,"journal":{"name":"Accreditation and Quality Assurance","volume":"27 6","pages":"341 - 348"},"PeriodicalIF":0.8000,"publicationDate":"2022-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s00769-022-01520-z.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Accreditation and Quality Assurance","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s00769-022-01520-z","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: 0
Abstract
A simple graphical display is described for investigating agreement among interlaboratory data with reported uncertainties. The plot consists of a measure of agreement—the significance level of a test for significant pairwise difference, adjusted for multiple comparisons—plotted as an image in which significance is represented by colour or intensity. This provides an easily interpretable graphical presentation in which the degree of consensus can be judged and in which anomalies are easily visible. The construction of the plot is discussed, with attention to the choice of adjustment for the size of the data set in checking for anomalies. The advantage over visual inspection using error bars is discussed, and some examples from metrology comparisons are presented.
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.
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