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
中科院分区:
文献类型:
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作者:
I. Rohlfing
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.