Cluster analysis applied to self‐reported depressive symptomatology
Cluster analysis applied to self‐reported depressive symptomatology
复制标题
聚类分析应用于自我报告的抑郁症状
DOI：
10.1111/j.1600-0447.1978.tb06869.x
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发表时间：
1978
影响因子：
6.7
通讯作者：
D. Byrne
中科院分区：
文献类型：
--
作者：
D. Byrne
围绕抑郁状态分类的混乱被多种原因归咎于数据收集方法的偏差和数据分析手段的不当。有人认为，对这些假设的错误来源应用纠正方法，即使用自我报告的数据来消除数据收集中的偏差，并通过聚类分析对这些数据进行分析，应该为抑郁症分类的研究产生更一致的结果。
The confusion surrounding the classification of the depressive states has been variously attributed to bias in methods of data collection and inappropriate means of data analysis. It has been argued that the application of corrective methods to these postulated sources of error, namely the use of self‐reported data to eliminate bias in data collection, and the analysis of this data by means of cluster analysis, should produce a more consistent outcome to studies of depressive classification.