{"title":"METHODOLOGICAL ASPECTS OF ASSESSING THE COMPETENCE OF LABORATORY PERSONNEL DETERMINING THE QUALITY OF SEED POTATOES","authors":"Оlha Samoilichenko, Оlha Priadko, V.M. Mokiichuk, Yuliia Slyv","doi":"10.31548/animal.13(2).2022.63-70","DOIUrl":null,"url":null,"abstract":"Most of the quality indicators regulated by the standard for seed potato certification are determined by the subjective component, that is, the competence of the personnel. However, the regulatory framework does not establish criteria for assessing competence, which poses uncontrolled risks in the laboratory. The purpose of the study is to develop and investigate the methodology for assessing the competence of laboratory personnel involved in the testing of seed potatoes and determine the extent of application of the methodology. The methods of probability theory and mathematical statistics are used for the tasks of selection and research of statistical criteria that correspond to the law of distribution of the obtained data and provide the necessary reliability for the available sample volumes. The statistics and the method of determining the threshold value, which mathematically describes the decision-making on competence, are provided for the binomial distribution law. The properties of the proposed statistical method for assessing the competence of personnel in terms of finding the maximum differences in the results of the analysis, at which the personnel are recognised as competent, are investigated. The study demonstrates the dependence of the method capacity on the data volume. It is determined that to obtain a confidence probability of 0.95 for quality indicators, the content of which in the average sample according to the technical conditions is minimal, the sample size should be 600-1000 tubers. At the same time, up to 100 tubers are sufficient for indicators whose content is under 5%. The method proposed by the authors showed that the average sample of 250 tubers recommended by the standard is entirely justified in terms of attracting resources during certification but must be adjusted during competence monitoring in a testing laboratory that confirms its competence by the requirements of DSTU ISO IEC 17025:2019. The findings presented can be used by the personnel in the seed testing laboratories as a measure to minimise the risks caused by the impact of personnel incompetence","PeriodicalId":423813,"journal":{"name":"Animal Science and Food Technology","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal Science and Food Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31548/animal.13(2).2022.63-70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Most of the quality indicators regulated by the standard for seed potato certification are determined by the subjective component, that is, the competence of the personnel. However, the regulatory framework does not establish criteria for assessing competence, which poses uncontrolled risks in the laboratory. The purpose of the study is to develop and investigate the methodology for assessing the competence of laboratory personnel involved in the testing of seed potatoes and determine the extent of application of the methodology. The methods of probability theory and mathematical statistics are used for the tasks of selection and research of statistical criteria that correspond to the law of distribution of the obtained data and provide the necessary reliability for the available sample volumes. The statistics and the method of determining the threshold value, which mathematically describes the decision-making on competence, are provided for the binomial distribution law. The properties of the proposed statistical method for assessing the competence of personnel in terms of finding the maximum differences in the results of the analysis, at which the personnel are recognised as competent, are investigated. The study demonstrates the dependence of the method capacity on the data volume. It is determined that to obtain a confidence probability of 0.95 for quality indicators, the content of which in the average sample according to the technical conditions is minimal, the sample size should be 600-1000 tubers. At the same time, up to 100 tubers are sufficient for indicators whose content is under 5%. The method proposed by the authors showed that the average sample of 250 tubers recommended by the standard is entirely justified in terms of attracting resources during certification but must be adjusted during competence monitoring in a testing laboratory that confirms its competence by the requirements of DSTU ISO IEC 17025:2019. The findings presented can be used by the personnel in the seed testing laboratories as a measure to minimise the risks caused by the impact of personnel incompetence
种薯认证标准规定的质量指标,大多是由主观成分决定的,即人员的能力。然而,监管框架没有建立评估能力的标准,这在实验室中造成了无法控制的风险。这项研究的目的是开发和调查评估参与马铃薯种子测试的实验室人员能力的方法,并确定该方法的应用范围。概率论和数理统计的方法用于选择和研究统计标准的任务,这些标准与所获得的数据的分布规律相对应,并为可用的样本量提供必要的可靠性。给出了二项分布规律的统计量和阈值的确定方法,该阈值在数学上描述了能力决策。在发现分析结果的最大差异方面,评估人员能力的拟议统计方法的性质进行了调查,在这些分析结果中,人员被认为是称职的。研究证明了方法容量对数据量的依赖性。确定为获得质量指标的置信概率为0.95,其在按技术条件平均样品中的含量最小,样本量应为600-1000个块茎。同时,对于含量在5%以下的指标,最多100根就足够了。作者提出的方法表明,标准推荐的250个块茎的平均样品在认证期间吸引资源方面是完全合理的,但必须在测试实验室的能力监测期间进行调整,以确认其符合DSTU ISO IEC 17025:2019的要求。研究结果可供种子检测实验室的人员使用,作为将人员不称职所造成的风险降至最低的措施