什么是 Kendall 的一致性系数 (KCC)?

2019-10-15 不详 网络

什么是 Kendall 的一致性系数 (KCC)? Kendall 的一致性系数表示在评估相同样本时多名评估员所做顺序评估的关联程度。Kendall 系数常用于属性一致性分析。 解释 Kendall 一致性系数值 Kendall 系数值介于 0 和 1 之间。Kendall 值越大,关联程度约强。一般而言,当 Kendall 系数为 0.9 或以上时,就认为关联程度很好。较高或显

什么是 Kendall 的一致性系数 (KCC)? Kendall 的一致性系数表示在评估相同样本时多名评估员所做顺序评估的关联程度。Kendall 系数常用于属性一致性分析。解释 Kendall 一致性系数值Kendall 系数值介于 0 和 1 之间。Kendall 值越大,关联程度约强。一般而言,当 Kendall 系数为 0.9 或以上时,就认为关联程度很好。较高或显著的 Kendall 系数意味着检验员评估样本时采用的是基本一致的标准。什么是 Kendall 的相关系数?如果为每个样本提供一个已知评级,Minitab 还将计算 Kendall 的相关系数。这些相关系数将提供给每位检验员以确定每位检验员与已知标准的一致性;而总体系数表示所有检验员与标准的一致性。相关系数有助于确定某位检验员是否保持了一致性但却不准确。解释 Kendall 的相关系数Kendall 的系数值可以从 −1 变化到 1。正值表示正向关联。负值表示负向关联。值越大,关联程度越强。根据您的样本数据,使用 Kendall 相关系数和它们的 p 值在两个对立假设之间选择:H0:所有评估员的评级和已知标准之间没

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    2020-02-28 xre2008
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    2020-08-10 zhanfl
  3. [GetPortalCommentsPageByObjectIdResponse(id=2036898, encodeId=524a203689882, content=<a href='/topic/show?id=951f1045810' target=_blank style='color:#2F92EE;'>#Kendall#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=10458, encryptionId=951f1045810, topicName=Kendall)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=fd18451, createdName=xre2008, createdTime=Fri Feb 28 19:06:00 CST 2020, time=2020-02-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1906933, encodeId=8b92190693332, content=<a href='/topic/show?id=d91e1943441' target=_blank style='color:#2F92EE;'>#一致性#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=19434, encryptionId=d91e1943441, topicName=一致性)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=3138208, createdName=zhanfl, createdTime=Mon Aug 10 17:06:00 CST 2020, time=2020-08-10, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1329291, encodeId=a8261329291ef, content=<a href='/topic/show?id=bb96232801' target=_blank style='color:#2F92EE;'>#ALL#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=30, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=2328, encryptionId=bb96232801, topicName=ALL)], attachment=null, authenticateStatus=null, createdAvatar=http://thirdqq.qlogo.cn/qqapp/1103841572/C2EFD5CFB07FE291138AD4FD0C98E3DE/100, createdBy=e3d52500031, createdName=膀胱癌, createdTime=Thu Oct 17 05:06:00 CST 2019, time=2019-10-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1581064, encodeId=05f7158106419, content=<a href='/topic/show?id=3beb12600e5' target=_blank style='color:#2F92EE;'>#NDA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=12600, encryptionId=3beb12600e5, topicName=NDA)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=9a9e16702381, createdName=12498a49m65暂无昵称, createdTime=Thu Oct 17 05:06:00 CST 2019, time=2019-10-17, status=1, ipAttribution=)]
    2019-10-17 膀胱癌
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