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QAP：测量“关系”之间关系的一种方法

刘军

  

  1. 哈尔滨工程大学社会学系暨哈尔滨工程大学大学德育与青年心理研究中心教授 博士
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-07-20 发布日期:2007-07-20

QAP: A Unique Method of Measuring “Relationships” in Relational Data

Liu Jun   

  • Received:1900-01-01 Revised:1900-01-01 Online:2007-07-20 Published:2007-07-20

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摘要：

常规统计方法要求变量之间独立，而关系数据恰恰违背这个假设。如何测量关系之间的关系？QAP是可用的一种方法。本文介绍了QAP的原理，并通过UCINET用实际例子展示QAP相关和QAP回归的应用。QAP不但可以测量两种关系数据之间的回归，还可以测量相关，测量“属性数据”和“关系数据”之间的关系，该方法因而独具特色。

关键词: QAP, 关系数据, 社会网络分析

Abstract:

One of the critical assumptions of conventional statistical methods is the independence among variables. Relational data, however, violate this prerequisite. Then how to measure relationships in relational data? QAP is an applicable solution. This paper introduces the rationale of QAP and exemplifies its application in correlation and regression with UCINET. QAP is unique in that it can not only be applied to the regression of one relational variable on another relational variable but also to correlations among relational and attribute variables.

Key words: QAP, Relational data, Social Network Analysis