Mixing Cross-National Statistical Analysis with Within-Country Case Studies: Methodological Development as a Mixed-Method Strategy and Prescriptions for Possible Problems

東島 雅昌

doi:10.24765/ajiakeizai.62.4_49

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多国間統計分析と国内事例研究による混合手法――分析アプローチとしての発展と方法論的限界への処方箋――
タコクカントウケイブンセキトコクナイジレイケンキュウニヨルコンゴウシュホウ : ブンセキアプローチトシテノハッテントホウホウロンテキゲンカイエノショホウセン

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Abstract

<p>Over the past few decades, comparativists have been increasingly combining cross-national statistical analysis with within-country case studies as a multi-method research design. This paper methodologically and empirically explores this mixed-method approach by focusing on issues such as (1) its methodological advantages and problems, (2) changes in the frequency of adoption, and (3) possible solutions to its problems. First, I identify where this type of mixed method currently stands in the field of comparative politics by reviewing Lieberman’s (2005) “nested analysis” design as well as the subsequent debates over this approach. Second, I investigate time trends of various mixed methods and their impacts on political science by analyzing new datasets of political science monographs and journal articles covering the period of 1995-2018. My analysis finds that, although there are remarkable differences in trends between monographs and journal articles, the nested analysis type of research has tended to increase over time, especially in the case of monographs. Lastly, while introducing cutting-edge research on comparative politics in the developing world, this article suggests that problems with the nested analysis design can be mitigated by applying causal inference techniques and big data methods to cross-national data analysis.</p>

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アジア経済

アジア経済 62 (4), 49-78, 2021-12

日本貿易振興機構アジア経済研究所

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