关注心理测量学。卡帕值将两种分歧来源混为一谈：四分相关系数更可取。
Focus on Psychometrics. Kappa muddles together two sources of disagreement: tetrachoric correlation is preferable.
作者信息
Hutchinson T P
机构信息
School of Mathematics and Statistics, University of Sydney, NSW, Australia.
出版信息
Res Nurs Health. 1993 Aug;16(4):313-6. doi: 10.1002/nur.4770160410.
PMID:8378561
Abstract
When assessing agreement between experts, it is important to distinguish between disagreements that can and cannot be explained by different placing of the boundaries between categories. Cohen's kappa statistic is affected by both types of disagreement, tetrachoric correlation only by the second.
摘要
在评估专家之间的一致性时，区分那些可以和不能通过类别之间边界的不同划分来解释的分歧很重要。科恩卡方统计量受这两种分歧的影响，而四分相关仅受第二种分歧的影响。
Zotero 插件