Hierarchical Linkage Analysis for the Isolation of Types
Hierarchical Linkage Analysis for the Isolation of Types
复制标题
用于类型隔离的层次关联分析
DOI：
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发表时间：
1960
期刊：
影响因子：
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通讯作者：
L. Mcquitty
中科院分区：
文献类型：
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作者：
L. Mcquitty
ELENTARY 连锁分析（McQuitty，1957b）是一种用于分离类型的快速方法，但它仅产生一级分类。另一方面，一致性分析（McQuitty，1956）分类为连续的级别，如种、属、科等，但它的缺点是如果用铅笔和纸在小矩阵以外的地方进行则过于费力；大型矩阵需要电子计算机，即使如此，分析也相对费力。类型学研究根据主要反应模式将受试者客观地分类为类型，表明存在许多心理类型，并且大量数据对于分离它们至关重要（McQuitty，1957a）。需要一种分析方法，使研究人员能够将大型矩阵分析为分层类型，如图 1 所示。本文开发并阐述了这种方法。即使是相对较大的矩阵，也可以用铅笔和纸来执行。
ELEMENTARY linkage analysis (McQuitty, 1957b) is a rapid method for the isolation of types, but it results in a first-level classification only. Agreement analysis (McQuitty, 1956), on the other hand, classifies into successive levels such as species, genera, families, etc., but it has the disadvantage of being prohibitively laborious if performed by pencil and paper on other than a small matrix; large matrices require an electronic computer and even then the analyses are relatively laborious. Typological studies, which have classified subjects objectively into types on the basis of major patterns of responses, indicate that there are many psychological types and that large sets of data are essential to isolate them (McQuitty, 1957a). A method of analysis which would enable investigators to analyze large matrices into hierarchical types, as illustrated in Chart 1, is needed. This paper develops and illustrates such a method. It can be performed by pencil and paper on even relatively large matrices.