{"title":"威斯康星卡片分类测验解释和评分的改进图解程序:史蒂夫-贝里(Steve Berry)1996 年版的升级版。","authors":"Caitlin A Howlett, G Lorimer Moseley","doi":"10.3758/s13428-024-02499-w","DOIUrl":null,"url":null,"abstract":"<p><p>The Wisconsin Card Sorting Test (WCST) is a popular neuropsychological test that is complicated to score and interpret. In an attempt to make scoring of the WCST simpler, Berry (The Clinical Neuropsychologist 10, 117-121, 1996) developed a diagrammatic scoring procedure, particularly to aid scoring of perseverative responses. We identified key limitations of Berry's diagram, including its unnecessary ambiguity and complexity, use of terminology different from that used in the standardized WCST manual, and lack of distinction between perseverative errors and perseverative responses. Our new diagrammatic scoring procedure scores each response one-by-one; we strongly suggest that the diagram is used in conjunction with the 1993 WCST manual. Our new diagrammatic scoring procedure aims to assist novice users in learning how to accurately score the task, prevent scoring errors when using the manual version of the task, and help scorers verify whether other existing computerized versions of the task (apart from the PAR version) conform to the Heaton et al. (1993) scoring method. Our diagrammatic scoring procedure holds promise to be incorporated into any future versions of the WCST manual.</p>","PeriodicalId":4,"journal":{"name":"ACS Applied Energy Materials","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525283/pdf/","citationCount":"0","resultStr":"{\"title\":\"An improved diagrammatic procedure for interpreting and scoring the Wisconsin Card Sorting Test: An update to Steve Berry's 1996 edition.\",\"authors\":\"Caitlin A Howlett, G Lorimer Moseley\",\"doi\":\"10.3758/s13428-024-02499-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Wisconsin Card Sorting Test (WCST) is a popular neuropsychological test that is complicated to score and interpret. In an attempt to make scoring of the WCST simpler, Berry (The Clinical Neuropsychologist 10, 117-121, 1996) developed a diagrammatic scoring procedure, particularly to aid scoring of perseverative responses. We identified key limitations of Berry's diagram, including its unnecessary ambiguity and complexity, use of terminology different from that used in the standardized WCST manual, and lack of distinction between perseverative errors and perseverative responses. Our new diagrammatic scoring procedure scores each response one-by-one; we strongly suggest that the diagram is used in conjunction with the 1993 WCST manual. Our new diagrammatic scoring procedure aims to assist novice users in learning how to accurately score the task, prevent scoring errors when using the manual version of the task, and help scorers verify whether other existing computerized versions of the task (apart from the PAR version) conform to the Heaton et al. (1993) scoring method. Our diagrammatic scoring procedure holds promise to be incorporated into any future versions of the WCST manual.</p>\",\"PeriodicalId\":4,\"journal\":{\"name\":\"ACS Applied Energy Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":5.4000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11525283/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Energy Materials\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.3758/s13428-024-02499-w\",\"RegionNum\":3,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/10/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Energy Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3758/s13428-024-02499-w","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/10/21 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
An improved diagrammatic procedure for interpreting and scoring the Wisconsin Card Sorting Test: An update to Steve Berry's 1996 edition.
The Wisconsin Card Sorting Test (WCST) is a popular neuropsychological test that is complicated to score and interpret. In an attempt to make scoring of the WCST simpler, Berry (The Clinical Neuropsychologist 10, 117-121, 1996) developed a diagrammatic scoring procedure, particularly to aid scoring of perseverative responses. We identified key limitations of Berry's diagram, including its unnecessary ambiguity and complexity, use of terminology different from that used in the standardized WCST manual, and lack of distinction between perseverative errors and perseverative responses. Our new diagrammatic scoring procedure scores each response one-by-one; we strongly suggest that the diagram is used in conjunction with the 1993 WCST manual. Our new diagrammatic scoring procedure aims to assist novice users in learning how to accurately score the task, prevent scoring errors when using the manual version of the task, and help scorers verify whether other existing computerized versions of the task (apart from the PAR version) conform to the Heaton et al. (1993) scoring method. Our diagrammatic scoring procedure holds promise to be incorporated into any future versions of the WCST manual.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.