Measuring the Intensity of Intranational Political Events Data: Two Interval-Like Scales
Measuring the Intensity of Intranational Political Events Data: Two Interval-Like Scales
复制标题
衡量国际政治事件数据的强度：两个区间尺度
DOI：
10.1080/03050620490462603
复制
发表时间：
2004
影响因子：
1.3
通讯作者：
S. Shellman
中科院分区：
文献类型：
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作者：
S. Shellman
King， Keohane和Verba （1994, pp. 27-28）认为我们应该“最大化我们测量的有效性”，“确保数据收集方法是可靠的”，并使所有数据和分析都是可复制的。为了改进对国家内部政治互动（IPI）项目收集的事件数据的测量，该项目的这一扩展产生了两个新的有效和可靠的类区间尺度。继Azar（1982）、Goldstein（1992）和Moore and Lindstrom（1996）之后，我基于一组专家的判断，制作了合作和敌对政治行为的区间式量表。集体标度过程产生适合在OLS回归模型中使用的数据，以及更准确地表示事件类型的真实分数的标准化类间隔标度。本文讨论了推导新措施所采取的程序，继续论证为什么新措施是现有措施的改进，并报告了统计分析比较的结果。统计比较表明，新尺度在使用不同时间聚合单位的各种统计模型中产生差异。
King, Keohane, and Verba (1994, pp. 27-28) argue that we should "maximize the validity of our measurement," "ensure that data-collection methods are reliable," and make all data and analysis replicable. In an effort to improve the measurement of the events data collected by the Intranational Political Interactions (IPI) project, this extension of the project produces two new valid and reliable interval-like scales. Following Azar (1982), Goldstein (1992), and Moore and Lindstrom (1996), I produce interval-like scales of cooperative and hostile political actions based on a group of experts' judgements. The collective scaling procedure produces data suitable for use in OLS regression models as well as a standardized interval-like scale that more accurately represents the true scores of event types. The paper discusses the procedures taken to derive the new measures, proceeds to argue why the new measures are improvements over existing measures, and reports the findings of statistical analytic comparisons. The statistical comparisons demonstrate that the new scales make a difference in various statistical models using different temporal units of aggregation.