The Small N Methodological Challenges of Analyzing Regional Integration

The Small N Methodological Challenges of Analyzing Regional Integration
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分析区域一体化的小 N 方法论挑战

DOI:
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发表时间:
2010
期刊:
影响因子:
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通讯作者:
P. Lombaerde
P. Lombaerde
中科院分区:
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文献类型:
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作者:
Gaspare M. Genna;P. Lombaerde

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随着区域一体化组织数量的增加,为了避免可能产生可疑结论的选择偏差,在小N定性分析中对案例选择的关注变得更加必要。本文解决了选择案例的问题,并为研究中的潜在缺陷提供了解决方案。首先,我们考察了定性方法中的各种研究设计,并讨论了选择因变量观测值的问题。接下来我们讨论区域的操作定义。为了从大量的观察中进行选择,重要的是要了解哪些是包括的,哪些是不包括的。最后,对欧盟研究界提出了一些启示。
Abstract As the number of regional integration organizations increases, the attention to case selection in small‐N qualitative analysis becomes more necessary in order to avoid selection biases that could produce results with doubtful generalizations. This paper addresses the problem of selecting cases and offers solutions to potential pitfalls in research. First we examine various research designs in qualitative methods and discuss the problems of selecting observations on the dependent variable. We next discuss the operational definition of regions. In order to select from a population of observations, it is important to understand what is and what is not included. Finally, a few implications are presented for the EU studies community.