An Overview and Recent Developments in Dual Scaling
An Overview and Recent Developments in Dual Scaling
复制标题
双尺度的概述和最新进展
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
S. Nishisato
中科院分区：
文献类型：
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作者：
S. Nishisato
双重标度量化分类数据，如联想表、多项选择数据、排序数据、配对比较数据、排名顺序数据和连续类别数据。这些数据可以分为两类：关联数据和优势数据。本研究是对一些关键公式和几个概念问题的概述，这些问题需要进一步研究。其中大多数是数据类型所特有的，并建议采取一些补救措施作为临时措施。认识到双重比例尺和其他相关方法中的这些困难似乎是最近最值得注意的发展。
Dual scaling quantifies such categorical data as contingency tables, multiple-choice data, sorting data, paired comparison data, rank-order data, and successive categories data. These data can be classified into two types, incidence data and dominance data. The present study is an overview of some key formulas and several conceptual problems, which require further investigations. Most of them are peculiar to data types, and some remedial procedures are suggested for them as interim measures. Awareness of these difficulties in dual scaling and other related methods seems to be the most notable recent development.