What You See and What You Get

What You See and What You Get
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你所看到的和你得到的

DOI:
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发表时间:
2008
期刊:
影响因子:
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通讯作者:
I. Rohlfing
I. Rohlfing
中科院分区:
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文献类型:
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作者:
I. Rohlfing

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在最近的一篇投稿中,Munck和Snyder发现许多研究都存在定性和定量方法应用不足的问题。他们认为,小n和大n分析的结合代表了一种促进知识生产的可行方法。最近,Evan Lieberman提出嵌套分析作为一种严格的比较研究方法,建立在定量和定性分析的互补优势之上。在本文中,作者探讨了嵌套推理的方法论潜力,以推进比较政治分析,认为嵌套设计的具体方法论问题还没有得到充分重视。它表明,在某些情况下,没有得到从嵌套分析。相反,与单一方法设计相比,可能会损失不止一个增益。作者提出了具体的方法论原则,考虑到这些问题,使嵌套分析的比较研究成果。
In a recent contribution to this journal, Munck and Snyder found that many studies suffer from a deficient application of qualitative and quantitative methods. They argue that the combination of small-n and large-n analysis represents a viable method for promoting the production of knowledge. Recently, Evan Lieberman proposed nested analysis as a rigorous approach for comparative research that builds on the complementary strengths of quantitative and qualitative analysis. In this paper, the author examines the methodological potential of nested inference to advance comparative political analysis, arguing that the specific methodological problems of nested designs have not been fully appreciated. It is shown that, under certain circumstances, nothing is gained from a nested analysis. On the contrary, one might lose more than one gains compared to single-method designs. The author suggests specific methodological principles that take these problems into account to make nested analysis fruitful for comparative studies.